Image sensor with improved lightsensitivity

FIELD OF THE INVENTION

0001This invention relates to a two-dimensional image sensor with improved light sensitivity

BACKGROUND OF THE INVENTION

0002An electronic imaging system depends on an electronic image sensor to create an electronic representation of a visual image. Examples of such electronic image sensors include charge coupled device (CCD) image sensors and active pixel sensor (APS) devices (APS devices are often referred to as CMOS sensors because of the ability to fabricate them in a Complementary Metal Oxide Semiconductor process). Typically, these images sensors include a number of light sensitive pixels, often arranged in a regular pattern of rows and columns. For capturing color images, a pattern of filters is typically fabricated on the pattern of pixels, with different filter materials being used to make individual pixels sensitive to only a portion of the visible light spectrum. The color filters necessarily reduce the amount of light reaching each pixel, and thereby reduce the light sensitivity of each pixel. A need persists for improving the light sensitivity, or photographic speed, of electronic color image sensors to permit images to be captured at lower light levels or to allow images at higher light levels to be captured with shorter exposure times.

0003Image sensors are either linear or two-dimensional. Generally, these sensors have two different types of applications. The two-dimensional sensors are typically suitable for image capture devices such as digital cameras, cell phones and other applications. Linear sensors are often used for scanning documents. In either case, when color filters are employed the image sensors have reduced sensitivity.

0004A linear image sensor, the KLI-4104 manufactured by Eastman Kodak Company, includes four linear, single pixel wide arrays of pixels, with color filters applied to three of the arrays to make each array sensitive to either red, green, or blue in its entirety, and with no color filter array applied to the fourth array; furthermore, the three color arrays have larger pixels to compensate for the reduction in light sensitivity due to the color filters, and the fourth array has smaller pixels to capture a high resolution monochrome image. When an image is captured using this image sensor, the image is represented as a high resolution, high photographic sensitivity monochrome image along with three lower resolution images with roughly the same photographic sensitivity and with each of the three images corresponding to either red, green, or blue light from the image; hence, each point in the electronic image includes a monochrome value, a red value, a green value, and a blue value. However, since this is a linear image sensor, it requires relative mechanical motion between the image sensor and the image in order to scan the image across the four linear arrays of pixels. This limits the speed with which the image is scanned and precludes the use of this sensor in a handheld camera or in capturing a scene that includes moving objects.

0005There is also known in the art an electronic imaging system described in <patcit id="pcit0001" dnum="US4823186A"><text>US Patent 4,823,186 by Akira Muramatsu</text></patcit> that includes two sensors, wherein each of the sensors includes a two-dimensional array of pixels but one sensor has no color filters and the other sensor includes a pattern of color filters included with the pixels, and with an optical beam splitter to provide each image sensor with the image. Since the color sensor has a pattern of color filters applied, each pixel in the color sensor provides only a single color. When an image is captured with this system, each point in the electronic image includes a monochrome value and one color value, and the color image must have the missing colors at each pixel location interpolated from the nearby colors. Although this system improves the light sensitivity over a single conventional image sensor, the overall complexity, size, and cost of the system is greater due to the need for two sensors and a beam splitter. Furthermore, the beam splitter directs only half the light from the image to each sensor, limiting the improvement in photographic speed.

0006In addition to the linear image sensor mentioned above, there are known in the art image sensors with two-dimensional arrays of pixels where the pixels include pixels that do not have color filters applied to them. For example, see <patcit id="pcit0002" dnum="US4390895A"><text>Sato et al in US Patent 4,390,895</text></patcit>, <patcit id="pcit0003" dnum="US5323233A"><text>Yamagami et al in US Patent 5,323,233</text></patcit>, and <patcit id="pcit0004" dnum="US6476865B"><text>Gindele et al in US Patent 6,476,865</text></patcit>. In each of the cited patents, the sensitivity of the unfiltered or monochrome pixels is significantly higher than the color pixels, requiring the application of gain to the color pixels in order to match the color and monochrome signals from the pixel array. Increasing gain increases noise as well as signal, causing degradation in the overall signal to noise ratio of the resulting image. Frame in <patcit id="pcit0005" dnum="US20030210332A"><text>US Patent Application 2003/0210332</text></patcit> discloses a pixel array with most of the pixels being unfiltered, but the color pixels suffer from the same sensitivity deficit as mentioned above.

0007Therefore, there persists a need for improving the light sensitivity for electronic capture devices that employ a single sensor with a two-dimensional array of pixels.

0008<patcit id="pcit0006" dnum="US4437112A"><text>US 4,437,112</text></patcit> discloses a solid-state color imaging apparatus which comprises an imaging device composed of a solid-state charge-coupled device having a plurality of cells each of which has at least two potential wells and color filter having a combination of color filter elements which are positioned corresponding to the two potential wells in such a manner as to provide different spectral sensitivities to the two potential wells.

0009<patcit id="pcit0007" dnum="GB2105143A"><text>GB2105143</text></patcit> discloses a color imaging array that includes green, red and blue sensor elements each consisting of a single solid-state CCD. The green, red and blue sensors are aligned in a predetermined plane having a plurality of sections long both of the horizontal and vertical directions, each section containing two element positions aligned vertically. The green sensor elements occupy the element positions in every other section along both of the horizontal and vertical directions, the red sensor elements occupy one of the two element positions in the remaining sections, and the blue sensor elements occupy other of the two element positions in the remaining sections. Thus, when an image is reproduced using this arrangement, the production of fake color will be reduced.

0010<patcit id="pcit0008" dnum="EP0472299A"><text>EP0472299</text></patcit> discloses an image signal processing apparatus which comprises an image pickup device with color filter means having a set of luminance portions for passing a luminance component located in an offset manner and a plurality of sets of color portions for passing different color components from each other, wherein the portions of at least one color set are located in an offset manner to improve the effective resolution of the corresponding color component. The apparatus generates color difference signals from the color component signals independently of the luminance component signal, or alternatively the color portions of the filter have a high transparency, in either case to reduce the tendency of false color difference signals to be generated owing to saturation of some but not all of the signals used to generate a color difference signal.; The filter portions may be arranged in pairs of adjacent rows having the same pattern of filter portions, for use with a pickup device with interlace scan.

0011<patcit id="pcit0009" dnum="EP0119862A"><text>EP0119862</text></patcit> discloses an array of picture elements in rows ℓ₁, ℓ₂, etc. that provides inputs to vertical charge coupled device (CCD) registers which feed into a horizontal CCD register which feed into a horizontal CCD register which provides the video output. In even fields transfers are made from even rows ℓ₂, ℓ₄, etc. and then, after a one element shift from odd rows ℓ₁, ℓ₃, etc. so that combined signals ℓ₁ + ℓ₂, ℓ₃ + ℓ₄, etc. are formed. Similarly in even fields the combined signals are ℓ₂ + ℓ₃, ℓ₄ + ℓ₅, etc. The elements have colour filters establishing a 2-element horizontal by 4-element vertical repeat pattern wherein a green component comes from all elements whereas red and blue components are modulated at a 2-element horizontal rate with a line to line phase alternation applying to one of these components, but not the other. In accordance with the invention the said pattern is established using transparent (W), green (G), yellow (Ye) and cyan (Cy) filters, where transparent passes all components, yellow passes red and green and cyan passes blue and green. Every row has at least one filter passing red and at least one passing blue within each 2 by 4 pattern block but the modulation of red and blue is retained as red components pass only alternate filters in odd lines (with phase alternation) whereas blue components pass only alternate filters in even lines (without phase alternation).

0012<patcit id="pcit0010" dnum="US2004046881A"><text>US2004046881</text></patcit> discloses an imaging device which includes a plurality of photosensors arranged in matrix on a light-receiving surface and a readout section for adding up photo signals on the photosensors for external output in each pixel block set on the light-receiving surface. The pixel blocks each consist of N (N>=2) photosensors assembled in an array direction of the matrix and the pixel blocks in even number arrays and those in odd number arrays in the matrix are shifted from each other by half a phase in the array direction. With or without execution of the adding-up operation, it is able to switch a pattern of readout pixels from the imaging device between a grid pattern and a diagonal grid pattern.

SUMMARY OF THE INVENTION

0013The present invention is directed to providing an image sensor having a two-dimensional array of color and panchromatic pixels that provides high sensitivity and is effective in producing full color images.

0014The present invention provides an image capture device as set out in claim 1.

0015Image sensors in accordance with the present invention are particularly suitable for low level lighting conditions, where such low level lighting conditions are the result of low scene lighting, short exposure time, small aperture, or other restrictions on light reaching the sensor. They have a broad application and numerous types of image capture devices can effectively use these sensors.

0016These and other aspects, objects, features and advantages of the present invention will be more clearly understood and appreciated from a review of the following detailed description of the preferred embodiments and appended claims, and by reference to the accompanying drawings.

BRIEF DESCRIPTION OF THE DRAWINGS

0017<ul id="ul0001" list-style="none" compact="compact"><li><figref idref="f0001">FIG. 1</figref> is a block diagram of a conventional digital still camera system that can employ a conventional sensor and processing methods of the sensor and processing methods of the current invention;</li><li><figref idref="f0002">FIG. 2</figref> (prior art) is conventional Bayer color filter array pattern showing a minimal repeating unit and a non-minimal repeating unit;</li><li><figref idref="f0002">FIG. 3</figref> provides representative spectral quantum efficiency curves for red, green, and blue pixels, as well as a wider spectrum panchromatic quantum efficiency, all multiplied by the transmission characteristics of an infrared cut filter;</li><li><figref idref="f0003">FIGS. 4A-D</figref> provides minimal repeating units for several variations of a color filter array pattern of the present invention that has color pixels with the same color photo response arranged in rows or columns;</li><li><figref idref="f0003">FIG. 5</figref> shows the cell structure of the minimal repeating unit from <figref idref="f0003">FIG. 4A</figref>;</li><li><figref idref="f0004">FIG. 6A</figref> is the interpolated panchromatic image for <figref idref="f0003">FIG. 4A</figref>;</li><li><figref idref="f0004">FIG. 6B</figref> is the low-resolution color image corresponding to the cells in <figref idref="f0003">FIG. 4A and FIG. 5</figref>;</li><li><figref idref="f0004">FIGS. 7A-C</figref> shows several ways of combining the pixels of <figref idref="f0003">FIG. 4A</figref>;</li><li><figref idref="f0005">FIGS. 8A-D</figref>, which illustrate examples that are not embodiments of the present invention, but which are useful for understanding the present invention, show the color filter array pattern of <figref idref="f0003">FIG. 4A</figref> with color pixels that have alternative color photoresponse characteristics, including four color alternatives as well as cyan, magenta, and yellow alternatives;</li><li><figref idref="f0005">FIG. 9</figref> provides a minimal repeating unit for an alternative color filter array of the present invention in which the panchromatic pixels are arranged in diagonal lines;</li><li><figref idref="f0006">FIGS. 10A-B</figref> provides minimal repeating units for two variations of an alternative color filter array in which the panchromatic pixels form a grid into which the color pixels are embedded, wherein <figref idref="f0006">FIG. 10A</figref> is in accordance with the present invention and <figref idref="f0006">FIG. 10B</figref> is not in accordance with the present invention but is useful for understanding the present invention;</li><li><figref idref="f0006">FIGS. 11A-D</figref>, which illustrate examples that are not embodiments of the present invention, but which are useful for understanding the present invention, provides minimal repeating units and tiling arrangements for two variations of an alternative color filter array of the present invention in which there are two colors per cell;</li><li><figref idref="f0007">FIGS. 12A-B</figref>, which illustrate examples that are not embodiments of the present invention, but which are useful for understanding the present invention, provides minimal repeating units for two variations of an alternative color filter array of the present invention in which there are two colors per cell and the panchromatic pixels are arranged in diagonal lines;</li><li><figref idref="f0007">FIGS. 13A-C</figref> provides variations of <figref idref="f0003">FIG. 4A</figref> in which the minimal repeating unit is smaller than eight by eight pixels;</li><li><figref idref="f0007">FIGS. 14A-B</figref> provides minimal repeating units for two variations of an alternative color filter array of the present invention in which the minimal repeating unit is six by six pixels;</li><li><figref idref="f0007">FIGS. 15A-B</figref> provides minimal repeating units for two variations of an alternative color filter array of the present invention in which the minimal repeating unit is four by four pixels;</li><li><figref idref="f0008">FIG. 16</figref> is the minimal repeating unit of <figref idref="f0003">FIG. 4A</figref> which subscripts for individual pixels within the minimal repeating unit;</li><li><figref idref="f0008">FIGS. 17A-E</figref> shows the panchromatic pixels and the color pixels of one cell of <figref idref="f0008">FIG. 16</figref>, and various ways in which the color pixels are combined;</li><li><figref idref="f0009">FIG. 18</figref> is a process diagram of the present invention showing the method of processing the color and panchromatic pixel data from a sensor of the present invention; and</li><li><figref idref="f0010">FIGS. 19A-D</figref> illustrates methods of the present invention for interpolating missing colors in the low-resolution partial color image of <figref idref="f0009">FIG. 18</figref>.</li></ul>

DETAILED DESCRIPTION OF THE INVENTION

0018Because digital cameras employing imaging devices and related circuitry for signal capture and correction and for exposure control are well known, the present description will be directed in particular to elements forming part of, or cooperating more directly with, method and apparatus in accordance with the present invention. Elements not specifically shown or described herein are selected from those known in the art. Certain aspects of the embodiments to be described are provided in software. Given the system as shown and described according to the invention in the following materials, software not specifically shown, described or suggested herein that is useful for implementation of the invention is conventional and within the ordinary skill in such arts.

0019Turning now to <figref idref="f0001">FIG. 1</figref>, a block diagram of an image capture device shown as a digital camera embodying the present invention is shown. Although a digital camera will now be explained, the present invention is clearly applicable to other types of image capture devices. In the disclosed camera, light 10 from the subject scene is input to an imaging stage 11, where the light is focused by lens 12 to form an image on solid state image sensor 20. Image sensor 20 converts the incident light to an electrical signal for each picture element (pixel). The image sensor 20 of the preferred embodiment is a charge coupled device (CCD) type or an active pixel sensor (APS) type (APS devices are often referred to as CMOS sensors because of the ability to fabricate them in a Complementary Metal Oxide Semiconductor process), Other types of image sensors having two-dimensional array of pixels are used provided that they employ the patterns of the present invention. The present invention also makes use of an image sensor 20 having a two-dimensional array of color and panchromatic pixels as will become clear later in this specification after <figref idref="f0001">FIG. 1</figref> is described. Examples of the patterns of color and panchromatic pixels of the present invention that are used with the image sensor 20 are seen in <figref idref="f0003">FIGS. 4A-D</figref>, <figref idref="f0005">FIGS. 8A-D</figref>, <figref idref="f0005">FIG. 9</figref>, <figref idref="f0006">FIGS. 10A-B</figref>, <figref idref="f0006">FIG. 11A, FIG. 11C</figref>, <figref idref="f0007">FIGS. 13A-C, FIGS. 14A-B, and FIGS. 15A-B</figref>, although other patterns are used within the scope of the present invention.

0020The amount of light reaching the sensor 20 is regulated by an iris block 14 that varies the aperture and the neutral density (ND) filter block 13 that includes one or more ND filters interposed in the optical path. Also regulating the overall light level is the time that the shutter block 18 is open. The exposure controller block 40 responds to the amount of light available in the scene as metered by the brightness sensor block 16 and controls all three of these regulating functions.

0021This description of a particular camera configuration will be familiar to one skilled in the art, and it will be obvious that many variations and additional features are present. For example, an autofocus system is added, or the lens are detachable and interchangeable. It will be understood that the present invention is applied to any type of digital camera, where similar functionality is provided by alternative components. For example, the digital camera is a relatively simple point and shoot digital camera, where the shutter 18 is a relatively simple movable blade shutter, or the like, instead of the more complicated focal plane arrangement. The present invention can also be practiced on imaging components included in non-camera devices such as mobile phones and automotive vehicles.

0022The analog signal from image sensor 20 is processed by analog signal processor 22 and applied to analog to digital (A/D) converter 24. Timing generator 26 produces various clocking signals to select rows and pixels and synchronizes the operation of analog signal processor 22 and A/D converter 24. The image sensor stage 28 includes the image sensor 20, the analog signal processor 22, the A/D converter 24, and the timing generator 26. The components of image sensor stage 28 is separately fabricated integrated circuits, or they are fabricated as a single integrated circuit as is commonly done with CMOS image sensors. The resulting stream of digital pixel values from A/D converter 24 is stored in memory 32 associated with digital signal processor (DSP) 36.

0023Digital signal processor 36 is one of three processors or controllers in this embodiment, in addition to system controller 50 and exposure controller 40. Although this partitioning of camera functional control among multiple controllers and processors is typical, these controllers or processors are combined in various ways without affecting the functional operation of the camera and the application of the present invention. These controllers or processors can comprise one or more digital signal processor devices, microcontrollers, programmable logic devices, or other digital logic circuits. Although a combination of such controllers or processors has been described, it should be apparent that one controller or processor is designated to perform all of the needed functions. All of these variations can perform the same function and fall within the scope of this invention, and the term "processing stage" will be used as needed to encompass all of this functionality within one phrase, for example, as in processing stage 38 in <figref idref="f0001">FIG. 1</figref>.

0024In the illustrated embodiment, DSP 36 manipulates the digital image data in its memory 32 according to a software program permanently stored in program memory 54 and copied to memory 32 for execution during image capture. DSP 36 executes the software necessary for practicing image processing shown in <figref idref="f0009">FIG. 18</figref>. Memory 32 includes of any type of random access memory, such as SDRAM. A bus 30 comprising a pathway for address and data signals connects DSP 36 to its related memory 32, A/D converter 24 and other related devices.

0025System controller 50 controls the overall operation of the camera based on a software program stored in program memory 54, which can include Flash EEPROM or other nonvolatile memory. This memory can also be used to store image sensor calibration data, user setting selections and other data which must be preserved when the camera is turned off. System controller 50 controls the sequence of image capture by directing exposure controller 40 to operate the lens 12, ND filter 13, iris 14, and shutter 18 as previously described, directing the timing generator 26 to operate the image sensor 20 and associated elements, and directing DSP 36 to process the captured image data. After an image is captured and processed, the final image file stored in memory 32 is transferred to a host computer via interface 57, stored on a removable memory card 64 or other storage device, and displayed for the user on image display 88.

0026A bus 52 includes a pathway for address, data and control signals, and connects system controller 50 to DSP 36, program memory 54, system memory 56, host interface 57, memory card interface 60 and other related devices. Host interface 57 provides a high speed connection to a personal computer (PC) or other host computer for transfer of image data for display, storage, manipulation or printing. This interface is an IEEE1394 or USB2.0 serial interface or any other suitable digital interface. Memory card 64 is typically a Compact Flash (CF) card inserted into socket 62 and connected to the system controller 50 via memory card interface 60. Other types of storage that are utilized include without limitation PC-Cards, MultiMedia Cards (MMC), or Secure Digital (SD) cards.

0027Processed images are copied to a display buffer in system memory 56 and continuously read out via video encoder 80 to produce a video signal. This signal is output directly from the camera for display on an external monitor, or processed by display controller 82 and presented on image display 88. This display is typically an active matrix color liquid crystal display (LCD), although other types of displays are used as well.

0028The user interface, including all or any combination of viewfinder display 70, exposure display 72, status display 76 and image display 88, and user inputs 74, is controlled by a combination of software programs executed on exposure controller 40 and system controller 50. User inputs 74 typically include some combination of buttons, rocker switches, joysticks, rotary dials or touchscreens. Exposure controller 40 operates light metering, exposure mode, autofocus and other exposure functions. The system controller 50 manages the graphical user interface (GUI) presented on one or more of the displays, e.g., on image display 88. The GUI typically includes menus for making various option selections and review modes for examining captured images.

0029Exposure controller 40 accepts user inputs selecting exposure mode, lens aperture, exposure time (shutter speed), and exposure index or ISO speed rating and directs the lens and shutter accordingly for subsequent captures. Brightness sensor 16 is employed to measure the brightness of the scene and provide an exposure meter function for the user to refer to when manually setting the ISO speed rating, aperture and shutter speed. In this case, as the user changes one or more settings, the light meter indicator presented on viewfinder display 70 tells the user to what degree the image will be over or underexposed. In an automatic exposure mode, the user changes one setting and the exposure controller 40 automatically alters another setting to maintain correct exposure, e.g., for a given ISO speed rating when the user reduces the lens aperture the exposure controller 40 automatically increases the exposure time to maintain the same overall exposure.

0030The ISO speed rating is an important attribute of a digital still camera. The exposure time, the lens aperture, the lens transmittance, the level and spectral distribution of the scene illumination, and the scene reflectance determine the exposure level of a digital still camera. When an image from a digital still camera is obtained using an insufficient exposure, proper tone reproduction can generally be maintained by increasing the electronic or digital gain, but the image will contain an unacceptable amount of noise. As the exposure is increased, the gain is decreased, and therefore the image noise can normally be reduced to an acceptable level. If the exposure is increased excessively, the resulting signal in bright areas of the image can exceed the maximum signal level capacity of the image sensor or camera signal processing. This can cause image highlights to be clipped to form a uniformly bright area, or to bloom into surrounding areas of the image. It is important to guide the user in setting proper exposures. An ISO speed rating is intended to serve as such a guide. In order to be easily understood by photographers, the ISO speed rating for a digital still camera should directly relate to the ISO speed rating for photographic film cameras. For example, if a digital still camera has an ISO speed rating of ISO 200, then the same exposure time and aperture should be appropriate for an ISO 200 rated film/process system.

0031The ISO speed ratings are intended to harmonize with film ISO speed ratings. However, there are differences between electronic and film-based imaging systems that preclude exact equivalency. Digital still cameras can include variable gain, and can provide digital processing after the image data has been captured, enabling tone reproduction to be achieved over a range of camera exposures. It is therefore possible for digital still cameras to have a range of speed ratings. This range is defined as the ISO speed latitude. To prevent confusion, a single value is designated as the inherent ISO speed rating, with the ISO speed latitude upper and lower limits indicating the speed range, that is, a range including effective speed ratings that differ from the inherent ISO speed rating. With this in mind, the inherent ISO speed is a numerical value calculated from the exposure provided at the focal plane of a digital still camera to produce specified camera output signal characteristics. The inherent speed is usually the exposure index value that produces peak image quality for a given camera system for normal scenes, where the exposure index is a numerical value that is inversely proportional to the exposure provided to the image sensor.

0032The foregoing description of a digital camera will be familiar to one skilled in the art. It will be obvious that there are many variations of this embodiment that are possible and is selected to reduce the cost, add features or improve the performance of the camera. The following description will disclose in detail the operation of this camera for capturing images according to the present invention. Although this description is with reference to a digital camera, it will be understood that the present invention applies for use with any type of image capture device having an image sensor with color and panchromatic pixels.

0033The image sensor 20 shown in <figref idref="f0001">FIG. 1</figref> typically includes a two-dimensional array of light sensitive pixels fabricated on a silicon substrate that provide a way of converting incoming light at each pixel into an electrical signal that is measured. As the sensor is exposed to light, free electrons are generated and captured within the electronic structure at each pixel. Capturing these free electrons for some period of time and then measuring the number of electrons captured, or measuring the rate at which free electrons are generated can measure the light level at each pixel. In the former case, accumulated charge is shifted out of the array of pixels to a charge to voltage measurement circuit as in a charge coupled device (CCD), or the area close to each pixel can contain elements of a charge to voltage measurement circuit as in an active pixel sensor (APS or CMOS sensor).

0034Whenever general reference is made to an image sensor in the following description, it is understood to be representative of the image sensor 20 from <figref idref="f0001">FIG. 1</figref>. It is further understood that all examples and their equivalents of image sensor architectures and pixel patterns of the present invention disclosed in this specification is used for image sensor 20.

0035In the context of an image sensor, a pixel (a contraction of "picture element") refers to a discrete light sensing area and charge shifting or charge measurement circuitry associated with the light sensing area. In the context of a digital color image, the term pixel commonly refers to a particular location in the image having associated color values.

0036In order to produce a color image, the array of pixels in an image sensor typically has a pattern of color filters placed over them. <figref idref="f0002">FIG. 2</figref> shows a pattern of red, green, and blue color filters that is commonly used. This particular pattern is commonly known as a Bayer color filter array (CFA) after its inventor <patcit id="pcit0011" dnum="US3971065A"><text>Bryce Bayer as disclosed in US 3,971,065</text></patcit>. This pattern is effectively used in image sensors having a two-dimensional array of color pixels. As a result, each pixel has a particular color photoresponse that, in this case, is a predominant sensitivity to red, green or blue light. Another useful variety of color photoresponses is a predominant sensitivity to magenta, yellow, or cyan light. In each case, the particular color photoresponse has high sensitivity to certain portions of the visible spectrum, while simultaneously having low sensitivity to other portions of the visible spectrum. The term color pixel will refer to a pixel having a color photoresponse.

0037The set of color photoresponses selected for use in a sensor usually has three colors, as shown in the Bayer CFA, but it can also include four or more. As used herein, a panchromatic photoresponse refers to a photoresponse having a wider spectral sensitivity than those spectral sensitivities represented in the selected set of color photoresponses. A panchromatic photosensitivity can have high sensitivity across the entire visible spectrum. The term panchromatic pixel will refer to a pixel having a panchromatic photoresponse. Although the panchromatic pixels generally have a wider spectral sensitivity than the set of color photoresponses, each panchromatic pixel can have an associated filter. Such filter is either a neutral density filter or a color filter.

0038When a pattern of color and panchromatic pixels is on the face of an image sensor, each such pattern has a repeating unit that is a contiguous subarray of pixels that acts as a basic building block. By juxtaposing multiple copies of the repeating unit, the entire sensor pattern is produced. The juxtaposition of the multiple copies of repeating units are done in diagonal directions as well as in the horizontal and vertical directions.

0039A minimal repeating unit is a repeating unit such that no other repeating unit has fewer pixels. For example, the CFA in <figref idref="f0002">FIG. 2</figref> includes a minimal repeating unit that is two pixels by two pixels as shown by pixel block 100 in <figref idref="f0002">FIG. 2</figref>. Multiple copies of this minimal repeating unit is tiled to cover the entire array of pixels in an image sensor. The minimal repeating unit is shown with a green pixel in the upper right corner, but three alternative minimal repeating units can easily be discerned by moving the heavy outlined area one pixel to the right, one pixel down, or one pixel diagonally to the right and down. Although pixel block 102 is a repeating unit, it is not a minimal repeating unit because pixel block 100 is a repeating unit and block 100 has fewer pixels than block 102.

0040An image captured using an image sensor having a two-dimensional array with the CFA of <figref idref="f0002">FIG. 2</figref> has only one color value at each pixel. In order to produce a full color image, there are a number of techniques for inferring or interpolating the missing colors at each pixel. These CFA interpolation techniques are well known in the art and reference is made to the following patents: <patcit id="pcit0012" dnum="US5506619A"><text>US5506619</text></patcit>, <patcit id="pcit0013" dnum="US5629734A"><text>US5629734</text></patcit>, and <patcit id="pcit0014" dnum="US5652621A"><text>US5652621</text></patcit>.

0041<figref idref="f0002">FIG. 3</figref> shows the relative spectral sensitivities of the pixels with red, green, and blue color filters in a typical camera application. The X-axis in <figref idref="f0002">FIG. 3</figref> represents light wavelength in nanometers, and the Y-axis represents efficiency. In <figref idref="f0002">FIG. 3</figref>, curve 110 represents the spectral transmission characteristic of a typical filter used to block infrared and ultraviolet light from reaching the image sensor. Such a filter is needed because the color filters used for image sensors typically do not block infrared light, hence the pixels are unable to distinguish between infrared light and light that is within the passbands of their associated color filters. The infrared blocking characteristic shown by curve 110 prevents infrared light from corrupting the visible light signal. The spectral quantum efficiency, i.e. the proportion of incident photons that are captured and converted into a measurable electrical signal, for a typical silicon sensor with red, green, and blue filters applied is multiplied by the spectral transmission characteristic of the infrared blocking filter represented by curve 110 to produce the combined system quantum efficiencies represented by curve 114 for red, curve 116 for green, and curve 118 for blue. It is understood from these curves that each color photoresponse is sensitive to only a portion of the visible spectrum. By contrast, the photoresponse of the same silicon sensor that does not have color filters applied (but including the infrared blocking filter characteristic) is shown by curve 112; this is an example of a panchromatic photoresponse. By comparing the color photoresponse curves 114, 116, and 118 to the panchromatic photoresponse curve 112, it is clear that the panchromatic photoresponse is three to four times more sensitive to wide spectrum light than any of the color photoresponses.

0042The greater panchromatic sensitivity shown in <figref idref="f0002">FIG. 3</figref> permits improving the overall sensitivity of an image sensor by intermixing pixels that include color filters with pixels that do not include color filters. However, the color filter pixels will be significantly less sensitive than the panchromatic pixels. In this situation, if the panchromatic pixels are properly exposed to light such that the range of light intensities from a scene cover the full measurement range of the panchromatic pixels, then the color pixels will be significantly underexposed. Hence, it is advantageous to adjust the sensitivity of the color filter pixels so that they have roughly the same sensitivity as the panchromatic pixels. The sensitivity of the color pixels are increased, for example, by increasing the size of the color pixels relative to the panchromatic pixels, with an associated reduction inspatial pixels.

0043<figref idref="f0003">FIG. 4A</figref> represents a two-dimensional array of pixels having two groups. Pixels from the first group of pixels have a narrower spectral photoresponse than pixels from the second group of pixels. The first group of pixels includes individual pixels that relate to at least two different spectral photoresponses corresponding to at least two color filters. These two groups of pixels are intermixed to improve the overall sensitivity of the sensor. As will become clearer in this specification, the placement of the first and second groups of pixels defines a pattern that has a minimal repeating unit including at least twelve pixels. The minimal repeating unit includes first and second groups of pixels arranged to permit the reproduction of a captured color image under different lighting conditions.

0044The complete pattern shown in <figref idref="f0003">FIG. 4A</figref> represents a minimal repeating unit that is tiled to cover an entire array of pixels. As with <figref idref="f0002">FIG. 2</figref>, there are several other minimal repeating units that are used to describe this overall arrangement of color and panchromatic pixels, but they are all essentially equivalent in their characteristics and each is a subarray of pixels, the subarray being eight pixels by eight pixels in extent. An important feature of this pattern is alternating rows of panchromatic and color pixels with the color rows having pixels with the same color photoresponse grouped together. The groups of pixels with the same photoresponse along with some of their neighboring panchromatic pixels are considered to form four cells that make up the minimal repeating unit, a cell being a contiguous subarray of pixels having fewer pixels than a minimal repeating unit.

0045These four cells, delineated by heavy lines in <figref idref="f0003">FIG. 4A</figref> and shown as cells 120, 122, 124, and 126 in <figref idref="f0003">FIG. 5</figref>, enclose four groups of four-by-four pixels each, with 120 representing the upper left cell, 122 representing the upper right cell, 124 representing the lower left cell, and 126 representing the lower right cell. Each of the four cells includes eight panchromatic pixels and eight color pixels of the same color photoresponse. The color pixels in a cell is combined to represent the color for that entire cell. Hence, cell 120 in <figref idref="f0003">FIG. 5</figref> is considered to be a green cell, cell 122 is considered to be a red cell, and so on. Each cell includes at least two pixels of the same color, thereby allowing pixels of the same color to be combined to overcome the difference in photosensitivity between the color pixels and the panchromatic pixels.

0046In the case of a minimal repeating unit with four non-overlapping cells, with each cell having two pixels of the same color and two panchromatic pixels, it is clear that the minimal repeating unit includes sixteen pixels. In the case of a minimal repeating unit with three non-overlapping cells, with each cell having two pixels of the same color and two panchromatic pixels, it is clear that the minimal repeating unit includes twelve pixels.

0047In accordance with the present invention, the minimal repeating unit of <figref idref="f0003">FIG. 4A</figref>, when considered in light of the cell structure identified in <figref idref="f0003">FIG. 5</figref>, can represent the combination of a high-resolution panchromatic image and a low-resolution Bayer pattern color image arranged to permit the reproduction of a captured color image under different lighting conditions. The individual elements of the Bayer pattern image represent the combination of the color pixels in the corresponding cells. The first group of pixels defines a low-resolution color filter array image and the second group of pixels defines a high-resolution panchromatic image. See <figref idref="f0004">FIG. 6A and FIG. 6B. FIG. 6A</figref> represents the high-resolution panchromatic image corresponding to <figref idref="f0003">FIG. 4A</figref>, including both the panchromatic pixels P from <figref idref="f0003">FIG. 4A</figref> as well as interpolated panchromatic pixels P'; and <figref idref="f0004">FIG. 6B</figref> represents the low-resolution Bayer pattern color image, with R', G', and B' representing for each of the cells outlined in <figref idref="f0003">FIG. 5</figref> the cell color associated with the combined color pixels in the cell.

0048In the following discussion, all cells in <figref idref="f0003">FIGS. 4B-D</figref>, <figref idref="f0005">8A-D</figref>, <figref idref="f0005">9</figref>, <figref idref="f0006">10A-B, 11A, 11C</figref>, <figref idref="f0007">12A-B, 13A-C, 14A-B, and 15A-B</figref> are delineated by heavy lines, as they were in <figref idref="f0003">FIG. 4A</figref>.

0049In addition to alternative minimal repeating units of <figref idref="f0003">FIG. 4A</figref>, each cell of the pattern is rotated 90 degrees to produce the pattern shown in <figref idref="f0003">FIG. 4B</figref>. This is substantially the same pattern, but it places the highest panchromatic sampling frequency in the vertical direction instead of the horizontal direction. The choice to use <figref idref="f0003">FIG. 4A or FIG. 4B</figref> depends on whether or not it is desired to have higher panchromatic spatial sampling in either the horizontal or vertical directions respectively. However, it is clear that the resulting cells that make up the minimal repeating unit in both patterns produce the same low-resolution color image for both patterns. Hence, <figref idref="f0003">FIG. 4A and FIG. 4B</figref> are equivalent from a color perspective. In general, <figref idref="f0003">FIG. 4A and FIG. 4B</figref> are examples of practicing the present invention with the panchromatic pixels arranged linearly in either rows or columns. Furthermore, <figref idref="f0003">FIG. 4A</figref> has single rows of panchromatic pixels with each row separated from a neighboring row of panchromatic pixels by a row of color pixels; <figref idref="f0003">FIG. 4B</figref> has the same characteristic in the column direction.

0050<figref idref="f0003">FIG. 4C</figref> represents yet another alternative minimal repeating unit to <figref idref="f0003">FIG. 4A</figref> with essentially the same cell color characteristics. However, <figref idref="f0003">FIG. 4C</figref> shows the panchromatic and color rows staggered on a cell by cell basis. This can improve the vertical panchromatic resolution. Yet another alternative minimal repeating unit to <figref idref="f0003">FIG. 4A</figref> is represented in <figref idref="f0003">FIG. 4D</figref>, wherein the panchromatic and color rows are staggered by column pairs. This also has the potential of improving the vertical panchromatic resolution. A characteristic of all of the minimal repeating units of <figref idref="f0003">FIGS. 4A-D</figref> is that groups of two or more same color pixels are arranged side by side in either rows or columns.

0051<figref idref="f0003">FIGS. 4A-D</figref> all have the same color structure with the cells that constitute the minimal repeating unit expressing a low-resolution Bayer pattern. It can therefore be seen that a variety of arrangements of panchromatic pixels and grouped color pixels are constructed within the scope of the present invention.

0052In order to increase the color photosensitivity to overcome the disparity between the panchromatic photosensitivity and the color photosensitivity, the color pixels within each cell is combined in various ways. For example, the charge from same colored pixels are combined or binned in a CCD image sensor or in types of active pixel sensors that permit binning. Alternatively, the voltages corresponding to the measured amounts of charge in same colored pixels are averaged, for example by connecting in parallel capacitors that are charged to these voltages. In yet another approach, the digital representations of the light levels at same colored pixels are summed or averaged. Combining or binning charge from two pixels doubles the signal level, while the noise associated with sampling and reading out the combined signal remains the same, thereby increasing the signal to noise ratio by a factor of two, representing a corresponding two times increase in the photosensitivity of the combined pixels. In the case of summing the digital representations of the light levels from two pixels, the resulting signal increases by a factor of two, but the corresponding noise levels from reading the two pixels combine in quadrature, thereby increasing the noise by the square root of two; the resulting signal to noise ratio of the combined pixels therefore increases by the square root of two over the uncombined signals. A similar analysis applies to voltage or digital averaging.

0053The previously mentioned approaches for combining signals from same colored pixels within a cell is used singly or in combinations. For example, by vertically combining the charge from same colored pixels in <figref idref="f0003">FIG. 4A</figref> in groups of two to produce the combined pixels with combined signals R', G', and B' shown in <figref idref="f0004">FIG. 7A</figref>. In this case, each R', G', and B' has twice the sensitivity of the uncombined pixels. Alternatively, horizontally combining the measured values, (either voltage or digital) from same colored pixels in <figref idref="f0003">FIG. 4A</figref> in groups of four produces the combined pixels with combined signals R', G' and B' shown in <figref idref="f0004">FIG. 7B</figref>. In this case, since the signal increases by a factor of four but the noise increases by 2, each R', G', and B' has twice the sensitivity of the uncombined pixels. In another alternative combination scheme, vertically combining the charge from same colored pixels in groups of two as in <figref idref="f0004">FIG. 7A</figref>, and horizontally summing or averaging the measured values of the combined pixels of <figref idref="f0004">FIG. 7A</figref> in groups of four produces the final combined color pixels of <figref idref="f0004">FIG. 7C</figref>, with R", G", and B" representing the final combinations of same coloured pixels. In this combination arrangement, the final combined color pixels of <figref idref="f0004">FIG. 7C</figref> each have four times the sensitivity of the uncombined pixels. Some sensor architectures, notably certain CCD arrangements, can permit the charge from all eight same colored pixels within each cell to be combined in the fashion of <figref idref="f0004">FIG. 7C</figref>, leading to an eightfold increase in sensitivity for the combined color pixels.

0054From the foregoing, it will now be understood that there are several degrees of freedom in combining color pixels for the purpose of adjusting the photosensitivity of the color pixels. Well known combining schemes will suggest themselves to one skilled in the art and is based on scene content, scene illuminant, overall light level, or other criteria. Furthermore, the combining scheme is selected to deliberately permit the combined pixels to have either less sensitivity or more sensitivity than the panchromatic pixels.

0055To this point the image sensor has been described as employing red, green, and blue filters.. Image sensors employing cyan, magenta, and yellow sensors are well known in the art. <figref idref="f0005">FIG. 8A</figref>, which illustrates an example that is not an embodiment of the present invention, but which is useful for understanding the present invention, shows the cyan, magenta, and yellow equivalent of <figref idref="f0003">FIG. 4A</figref>, with C representing cyan pixels, M representing magenta pixels, and Y representing yellow pixels. <figref idref="f0005">FIG. 8B</figref>, which illustrates an example that is not an embodiment of the present invention, but which is useful for understanding the present invention, shows a minimal repeating unit of the present invention that includes cyan pixels (represented by C), magenta pixels (represented by M), yellow pixels (represented by Y), and green pixels (represented by G). This retains the overall cell arrangement of the minimal repeating unit shown in <figref idref="f0003">FIG. 5</figref>, but includes four different colored pixels and therefore four different colored corresponding cells. <figref idref="f0005">FIG. 8C</figref>, which illustrates an example that is not an embodiment of the present invention, but which is useful for understanding the present invention, shows yet another alternative four color arrangement including red pixels (represented by R), blue pixels (represented by B), green pixels with one color photoresponse (represented by G), and alternative green pixels with a different color photoresponse (represented by E). <figref idref="f0005">FIG. 8D</figref>, which illustrates an example that is not an embodiment of the present invention, but which is useful for understanding the present invention, shows yet another alternative four color arrangement, wherein one of the green cells of <figref idref="f0003">FIG. 4A</figref> is replaced by a yellow cell, with the yellow pixels represented by Y.

0056Many alternatives to <figref idref="f0003">Fig. 4A</figref> are practiced within the scope of the present invention. For example, <figref idref="f0005">FIG. 9</figref> represents an alternative minimal repeating unit of the present invention with the same cell structure as <figref idref="f0003">FIG. 4A</figref> but with a checkerboard pattern of panchromatic pixels. This pattern provides uniform panchromatic sampling of the image, overcoming the vertical panchromatic sampling deficit of <figref idref="f0003">FIGS. 4A, 4C, and 4D</figref>. <figref idref="f0005">FIG. 9</figref> is characterized as an example of practicing the present invention by arranging the panchromatic pixels in diagonal lines. <figref idref="f0005">FIG. 9</figref> is further characterized as having single diagonal lines of panchromatic pixels with each diagonal line separated from a neighboring diagonal line of panchromatic pixels by a diagonal line of color pixels. Yet another characteristic of <figref idref="f0005">FIG. 9</figref> is that groups two or more of same color pixels are arranged side by side in diagonal lines.

0057The patterns presented so far have had equal numbers of panchromatic and color pixels. The present invention is not limited to this arrangement as there are more panchromatic pixels than color pixels. <figref idref="f0006">FIG. 10A</figref> shows yet another embodiment of the present invention wherein color pixels are embedded within a grid pattern of panchromatic pixels. This pattern provides very good panchromatic spatial sampling while expressing the same color cell arrangement as <figref idref="f0003">FIG. 4A</figref> and <figref idref="f0005">9</figref>. <figref idref="f0006">FIG. 10B</figref>, which illustrates an example that is not an embodiment of the present invention, but which is useful for understanding the present invention, provides an example of a four color embodiment of the panchromatic grid pattern. In general, the minimal repeating unit of <figref idref="f0006">FIG. 10</figref> is characterized as separating each color pixel from a neighboring color pixel by one or more panchromatic pixels.

0058For a given pixel pattern, a minimal repeating unit has been previously defined as a repeating unit such that no other repeating unit has fewer pixels. In the same sense, the sizes of repeating units from different pixel patterns are compared according to the total number of pixels in the repeating unit. As an example, a four pixel by eight pixel repeating unit from one pixel pattern is smaller than a six pixel by six pixel repeating unit from another pixel pattern because the total number of pixels (4x8 = 32) in the first repeating unit is smaller than the total number of pixels (6x6 = 36) in the second repeating unit. As a further example, a repeating unit that is smaller than a repeating unit having eight pixels by eight pixels contains fewer than 64 total pixels.

0059All the patterns presented so far have exhibited a cell structure wherein each cell contains a single color in addition to panchromatic pixels. Furthermore, all the patterns presented so far have exhibited a minimal repeating unit that is eight by eight pixels in extent. A minimal repeating unit can also be used that has cells with more than one color in each cell; also, a minimal repeating unit is defined that is less than eight pixels by eight pixels in extent. For example, the minimal repeating unit of <figref idref="f0006">FIG. 11A</figref>, which illustrates an example that is not an embodiment of the present invention, but which is useful for understanding the present invention, has two cells with each cell including two colors: blue and green (represented by B and G respectively) in the left cell, and red and green (represented by R and G respectively) in the right cell. In <figref idref="f0006">FIG. 11A</figref> the cells contain two colors, and these colors are arranged to facilitate combining same colors for the purpose of improving color sensitivity. <figref idref="f0006">FIG. 11B</figref>, which illustrates an example that is not an embodiment of the present invention, but which is useful for understanding the present invention, shows how the minimal repeating unit of <figref idref="f0006">FIG. 11A</figref> is tiled in order to stagger the red and blue colors. <figref idref="f0006">FIG. 11C</figref>, which illustrates an example that is not an embodiment of the present invention, but which is useful for understanding the present invention, provides a minimal repeating unit employing four colors and two colors per cell. <figref idref="f0006">FIG. 11D</figref>, which illustrates an example that is not an embodiment of the present invention, but which is useful for understanding the present invention, shows how the minimal repeating unit of <figref idref="f0006">FIG. 11C</figref> is tiled in order to stagger the red and blue colors. In <figref idref="f0006">FIG. 11D</figref> the coarse color pattern is characterized as a checkerboard of two different color photoresponses in the green range (represented by G and E) interleaved with a checkerboard of red and blue (represented by R and B, respectively). <figref idref="f0007">FIG. 12A</figref>, which illustrates an example that is not an embodiment of the present invention, but which is useful for understanding the present invention, provides a panchromatic checkerboard version of <figref idref="f0006">FIG. 11A</figref>, and <figref idref="f0007">FIG. 12B</figref>, which illustrates an example that is not an embodiment of the present invention, but which is useful for understanding the present invention, provides a panchromatic checkerboard version of <figref idref="f0006">FIG. 11C</figref>. In general, the minimal repeating units of <figref idref="f0006">FIGS. 11A and 11C</figref> are characterized as separating each color pixel from a neighbouring color pixel in rows and columns by a dissimilar pixel, either a different color pixel or a panchromatic pixel.

0060The minimal repeating units described so far have been eight by eight or four by eight pixels in extent. However, the minimal repeating unit may be smaller. For example, <figref idref="f0007">FIG. 13A</figref> is analogous to <figref idref="f0003">FIG. 4A</figref>, but with each color cell being 3 pixels wide by 4 pixels high and with the overall minimal repeating unit being 6 pixels wide by 8 pixels high. <figref idref="f0007">FIG. 13B</figref> eliminates two of the color pixel rows from <figref idref="f0007">FIG. 13A</figref>, thereby producing cells that are 3 pixels by 3 pixels and a minimal repeating unit that is 6 pixels by 6 pixels. <figref idref="f0007">FIG. 13C</figref> goes further by eliminating two of the panchromatic rows, thereby producing cells that are 3 pixels wide by 2 pixels high (with each cell containing 3 panchromatic pixels and 3 color pixels) and a minimal repeating unit that is 6 pixels wide by 4 pixels tall. The patterns shown in <figref idref="f0007">FIGS. 13A through 13C</figref> are particularly usable if the scheme for combining colors within each cell requires less than the numbers of pixels shown in <figref idref="f0003">FIG. 4A</figref> and other patterns.

0061<figref idref="f0007">FIG. 14A</figref> shows yet another minimal repeating unit. The minimal repeating unit in <figref idref="f0007">FIG. 14A</figref> is six pixels by six pixels, with each cell including a 4 pixel diamond pattern of a single color with the remaining 5 pixels being panchromatic pixels. The panchromatic spatial sampling pattern shown in <figref idref="f0007">FIG. 14A</figref> is somewhat irregular, suggesting the pattern of <figref idref="f0007">FIG. 14B</figref> with a panchromatic checkerboard and the remaining pixels in each three pixel by three pixel cell occupied by a single color.

0062<figref idref="f0007">FIG. 15A</figref> shows a minimal repeating unit that is four by four pixels and includes four two by two pixel cells. Note that each cell includes two panchromatic pixels and two same color pixels. The invention requires the placement of two same color pixels in each of the two by two cells in order to facilitate combining the color pixels within each cell. <figref idref="f0007">FIG. 15B</figref> is similar to <figref idref="f0007">FIG. 15A</figref> but employs a panchromatic checkerboard pattern.

0063Turning now to <figref idref="f0008">FIG. 16</figref>, the minimal repeating unit of <figref idref="f0003">FIG. 5</figref> is shown subdivided into four cells, a cell being a contiguous subarray of pixels having fewer pixels than a minimal repeating unit. The software needed to provide the following processing is included in DSP 36 of <figref idref="f0001">FIG. 1</figref>. Cells 220, 224, 226, and 228 are examples of cells wherein these cells contain pixels having green, red, blue and green photoresponses, respectively. In this example, cell 220 contains both panchromatic pixels and green pixels, the green pixels being identified as pixel group 222. The eventual goal is to produce a single green signal for cell 220 by combining the eight green signals from the green pixels in pixel group 222. Depending on the image sensor's mode of operation, a single green signal is produced by combining all eight green signals in the analog domain (e.g. by charge binning), or multiple green signals are produce by combining smaller groups of pixels taken from pixel group 222. The panchromatic pixels of cell 220 are shown in <figref idref="f0008">FIG. 17A</figref>. In the following examples, all eight signals from these panchromatic pixels are individually digitized. The green pixels of cell 220 are shown in <figref idref="f0008">FIGS. 17B-17E</figref> wherein they are grouped together according to how their signals are combined in the analog domain. <figref idref="f0008">FIG. 17B</figref> depicts the case in which all eight green pixels are combined to produce a single green signal for cell 220 (<figref idref="f0008">FIG. 16</figref>). The sensor can produce two green signals, for example, by first combining the signals from pixels G21, G22, G23, and G24, and then combining the signals from pixels G41, G42, G43, and G44, as shown in <figref idref="f0008">FIG. 17C</figref>. Two signals are produced in other ways as well. The sensor can first combine signals from pixels G21, G22, G41, and G42, and then combine signals from pixels G23, G24, G43, and G44, as shown in <figref idref="f0008">FIG. 17D</figref>. The sensor can also produce four green signals for cell 220 by combining four pairs of signals, for example, combining pixels G21 with G22, then combining G23 with G24, then combining G41 with G42, and finally combining G43 with G44, as shown in <figref idref="f0008">FIG. 17E</figref>. It is clear that there are many additional ways to combine pairs of green signals within cell 220 (<figref idref="f0008">FIG. 16</figref>). If the sensor does no combining at all, then all eight green signals are reported individually for cell 220. Thus, in the case of cell 220, the sensor can produce one, two, four or eight green values for cell 220, and produce them in different ways, depending on its mode of operation.

0064For cells 224, 226, and 228 (<figref idref="f0008">FIG 16</figref>), similar color signals are produced by the sensor depending on its mode of operation. The color signals for cells 224, 226, and 228 are red, blue, and green, respectively.

0065Returning to the case of cell 220, regardless of how many signals are digitized for this cell, the image processing algorithm of the present invention further combines the digitized green values to produce a single green value for the cell. One way that a single green value is obtained is by averaging all the digitized green values produced for cell 220. In the event that a cell contains color pixels of differing photoresponses, all the color data within the cell is similarly combined so that there is a single value for each color photoresponse represented within the cell.

0066It is important to distinguish between the color values pertaining to pixels in the original sensor that captured the raw image data, and color values pertaining to cells within the original sensor. Both types of color values are used to produce color images, but the resulting color images are of different resolution. An image having pixel values associated with pixels in the original sensor is referred to as a high-resolution image, and an image having pixel values associated with cells within the original sensor is referred to as a low-resolution image.

0067Turning now to <figref idref="f0009">FIG. 18</figref>, the digital signal processor block 36 (<figref idref="f0001">FIG. 1</figref>) is shown receiving captured raw image data from the data bus 30 (<figref idref="f0001">FIG. 1</figref>). The raw image data is passed to both the Low-resolution Partial Color block 202 and the High-resolution Panchrome block 204. An example of a minimal repeating unit for an image sensor has already been shown in <figref idref="f0003">FIG. 5</figref> and <figref idref="f0008">FIG. 16</figref>. In the case of cell 220 (<figref idref="f0008">FIG. 16</figref>), the captured raw image data includes the panchromatic data that is produced by the individual panchromatic pixels as shown in <figref idref="f0008">FIG 17A</figref>. Also, for cell 220 (<figref idref="f0008">FIG. 16</figref>), one or more green (color) values are also included, for example, from the combinations shown in <figref idref="f0008">FIGS. 17B-E</figref>.

0068In the Low-resolution Partial Color block 202 (<figref idref="f0009">FIG. 18</figref>), a partial color image is produced from the captured raw image data, a partial color image being a color image wherein each pixel has at least one color value and each pixel is also missing at least one color value. Depending on the sensor's mode of operation, the captured raw data contains some number of color values produced by the color pixels within each cell. Within the Low-resolution Partial Color block 202, these color values are reduced to a single value for each color represented within the cell. For the cell 220 (<figref idref="f0008">FIG. 16</figref>), as an example, a single green color value is produced. Likewise, for cells 224, 226 and 228, a single red, blue and green color value is produced, respectively.

0069The Low-resolution Partial Color block 202 processes each cell in a similar manner resulting in an array of color values, one for each cell. Because the resulting image array based on cells rather than pixels in the original sensor, it is four times smaller in each dimension than the original captured raw image data array. Because the resulting array is based on cells and because each pixel has some but not all color values, the resulting image is a low-resolution partial color image. At this point, the low-resolution partial color image is color balanced.

0070Looking now at the High-resolution Panchrome block 204, the same raw image data is used as shown in <figref idref="f0008">FIG. 16</figref>, although the only the panchromatic values will be used (<figref idref="f0008">FIG. 17A</figref>). This time the task is to interpolate a complete high-resolution panchromatic image by estimating panchromatic values at those pixels not having panchromatic values already. In the case of cell 220 (<figref idref="f0008">FIG. 16</figref>), panchromatic values must be estimated for the green pixels in pixel group 222 (<figref idref="f0008">FIG. 16</figref>). One simple way to estimate the missing panchromatic values is to do vertical averaging. Thus, for example, we can estimate the panchromatic value at pixel 22 as follows: <maths id="math0001"><math display="block"><mi mathvariant="normal">P</mi><mn>22</mn><mo>=</mo><mfenced><mrow><mi mathvariant="normal">P</mi><mn>12</mn><mo>+</mo><mi mathvariant="normal">P</mi><mn>32</mn></mrow></mfenced><mo>/</mo><mn>2</mn></math><img file="EP1908302B1_D0001.tif" /></maths> An adaptive method can also be used. For example, one adaptive method is to compute three gradient values and take their absolute values: <maths id="math0002"><math display="block"><mi>SCLAS</mi><mo>=</mo><mi>ABS</mi><mfenced><mrow><mi mathvariant="normal">P</mi><mn>31</mn><mo>−</mo><mi mathvariant="normal">P</mi><mn>13</mn></mrow></mfenced></math><img file="EP1908302B1_D0002.tif" /></maths><maths id="math0003"><math display="block"><mi>VCLAS</mi><mo>=</mo><mi>ABS</mi><mfenced><mrow><mi mathvariant="normal">P</mi><mn>32</mn><mo>−</mo><mi mathvariant="normal">P</mi><mn>12</mn></mrow></mfenced></math><img file="EP1908302B1_D0003.tif" /></maths><maths id="math0004"><math display="block"><mi>BCLAS</mi><mo>=</mo><mi>ABS</mi><mfenced><mrow><mi mathvariant="normal">P</mi><mn>33</mn><mo>−</mo><mi mathvariant="normal">P</mi><mn>11</mn></mrow></mfenced></math><img file="EP1908302B1_D0004.tif" /></maths> using the panchromatic values are shown in <figref idref="f0008">FIG. 17A</figref>. Likewise, three predictor values are computed: <maths id="math0005"><math display="block"><mi>SPRED</mi><mo>=</mo><mfenced><mrow><mi mathvariant="normal">P</mi><mn>31</mn><mo>+</mo><mi mathvariant="normal">P</mi><mn>13</mn></mrow></mfenced><mo>/</mo><mn>2</mn></math><img file="EP1908302B1_D0005.tif" /></maths><maths id="math0006"><math display="block"><mi>VPRED</mi><mo>=</mo><mfenced><mrow><mi mathvariant="normal">P</mi><mn>32</mn><mo>+</mo><mi mathvariant="normal">P</mi><mn>12</mn></mrow></mfenced><mo>/</mo><mn>2</mn></math><img file="EP1908302B1_D0006.tif" /></maths><maths id="math0007"><math display="block"><mi>BPRED</mi><mo>=</mo><mfenced><mrow><mi mathvariant="normal">P</mi><mn>33</mn><mo>+</mo><mi mathvariant="normal">P</mi><mn>11</mn></mrow></mfenced><mo>/</mo><mn>2</mn></math><img file="EP1908302B1_D0007.tif" /></maths>

0071Then, set P22 equal to the predictor corresponding to the smallest classifier value. In the case of a tie, set P22 equal to the average the indicated predictors. The panchromatic interpolation is continued throughout the image without regard to cell boundaries. When the processing of High-resolution Panchrome block 204 is done, the resulting digital panchromatic image is the same size as the original captured raw image, which makes it a high-resolution panchromatic image.

0072The Low-resolution Panchrome block 206 receives the high-resolution panchromatic image array produced by block 204 and generates a low-resolution panchromatic image array which is the same size as the low-resolution partial color image produced by block 202. Each low-resolution panchromatic value is obtained by averaging the estimated panchromatic values, within a given cell, for those pixels having color filters. In the case of cell 220 (<figref idref="f0008">FIG. 16</figref>) the high-resolution panchromatic values, previously estimated for the green pixels in pixel group 222 (<figref idref="f0008">FIG. 16</figref>), are now averaged together to produce a single low-resolution panchromatic value for the cell. Likewise, a single low-resolution panchromatic value is computed for cell 224 using high-resolution panchromatic values estimated at the pixels having red filters. In this manner, each cell ends up with a single low-resolution panchromatic value.

0073The Low-resolution Color Difference block 208 receives the low-resolution partial color image from block 202 and the low-resolution panchrome array from block 206. A low-resolution intermediate color image is then formed by color interpolating the low-resolution partial color image with guidance from the low-resolution panchrome image. The exact nature of the color interpolation algorithm, to be discussed in detail later, depends on which pattern of pixel photoresponses was used to capture the original raw image data.

0074After the low-resolution intermediate color image is formed it is color corrected. Once the low-resolution intermediate color image is color corrected, a low-resolution image of color differences are computed by subtracting the low-resolution panchromatic image from each of the low-resolution color planes individually. The High-resolution Color Difference block 210 receives the low-resolution color difference image from block 208 and, using bilinear interpolation, upsamples the low-resolution color difference image to match the size of the original raw image data. The result is a high-resolution color difference image that is the same size as the high-resolution panchromatic image produced by block 204.

0075The High-resolution Final Image block 212 receives the high-resolution color difference image from block 210 and the high-resolution panchromatic image from block 204. A high-resolution final color image is then formed by adding the high-resolution panchromatic image to each of the high-resolution color difference planes. The resulting high-resolution final color image can then be further processed. For example, it is stored in the DSP Memory block 32 (<figref idref="f0001">FIG. 1</figref>) and then sharpened and compressed for storage on the Memory Card block 64 (<figref idref="f0001">FIG. 1</figref>).

0076The sensor filter patterns shown in <figref idref="f0003">FIGS. 4A-D</figref>, <figref idref="f0005">8A</figref>, <figref idref="f0005">9</figref>, <figref idref="f0006">10A</figref>, <figref idref="f0007">13A-C, 14A-B and 15A-B</figref> have a minimal repeating unit such that the resulting low-resolution partial color image, produced in block 202, exhibits the repeating Bayer pattern for color filters: <tables id="tabl0001" num="0001"><table frame="none"><tgroup cols="2" colsep="0" rowsep="0"><colspec colnum="1" colname="col1" colwidth="26mm" /><colspec colnum="2" colname="col2" colwidth="26mm" /><tbody><row><entry>G</entry><entry>R</entry></row><row><entry>B</entry><entry>G</entry></row></tbody></tgroup></table></tables>

0077In addition to a single color value, given by the low-resolution partial color image, every cell also has a panchromatic value given by the low-resolution panchromatic image.

0078Considering the case in which the Bayer pattern is present in the low-resolution partial color image, the task of color interpolation within the Low-resolution Color Differences block 208 (<figref idref="f0009">FIG. 18</figref>) can now be described in greater detail. Color interpolation begins by interpolating the green values at pixels not already having green values, shown as pixel234 in <figref idref="f0010">FIG. 19A</figref>. The four neighboring pixels, shown as pixels 230, 232, 236, and 238, all have green values and they also all have panchromatic values. The center pixel 234 has a panchromatic value, but does not have a green value as indicated by the question marks.

0079The first step is to compute two classifier values, the first relating to the horizontal direction, and the second to the vertical direction: <maths id="math0008"><math display="block"><mi>HCLAS</mi><mo>=</mo><mi>ABS</mi><mfenced><mrow><mi mathvariant="normal">P</mi><mn>4</mn><mo>−</mo><mi mathvariant="normal">P</mi><mn>2</mn></mrow></mfenced><mo>+</mo><mi>ABS</mi><mfenced><mrow><mn>2</mn><mo>*</mo><mi mathvariant="normal">P</mi><mn>3</mn><mo>−</mo><mi mathvariant="normal">P</mi><mn>2</mn><mo>−</mo><mi mathvariant="normal">P</mi><mn>4</mn></mrow></mfenced></math><img file="EP1908302B1_D0008.tif" /></maths><maths id="math0009"><math display="block"><mi>VCLAS</mi><mo>=</mo><mi>ABS</mi><mfenced><mrow><mi>P5</mi><mo>−</mo><mi mathvariant="normal">P</mi><mn>1</mn></mrow></mfenced><mo>+</mo><mi>ABS</mi><mfenced><mrow><mn>2</mn><mo>*</mo><mi mathvariant="normal">P</mi><mn>3</mn><mo>−</mo><mi>P1</mi><mo>−</mo><mi>P5</mi></mrow></mfenced></math><img file="EP1908302B1_D0009.tif" /></maths> Then, compute two predictor values, the first relating to the horizontal direction, and the second to the vertical direction: <maths id="math0010"><math display="block"><mi>HPRED</mi><mo>=</mo><mfenced><mrow><mi mathvariant="normal">G</mi><mn>4</mn><mo>+</mo><mi mathvariant="normal">G</mi><mn>2</mn></mrow></mfenced><mo>/</mo><mn>2</mn><mo>+</mo><mfenced><mrow><mn>2</mn><mo>*</mo><mi mathvariant="normal">P</mi><mn>3</mn><mo>−</mo><mi mathvariant="normal">P</mi><mn>2</mn><mo>−</mo><mi mathvariant="normal">P</mi><mn>4</mn></mrow></mfenced><mo>/</mo><mn>2</mn></math><img file="EP1908302B1_D0010.tif" /></maths><maths id="math0011"><math display="block"><mi>VPRED</mi><mo>=</mo><mfenced><mrow><mi mathvariant="normal">G</mi><mn>5</mn><mo>+</mo><mi mathvariant="normal">G</mi><mn>1</mn></mrow></mfenced><mo>/</mo><mn>2</mn><mo>+</mo><mfenced><mrow><mn>2</mn><mo>*</mo><mi>P3</mi><mo>−</mo><mi>P1</mi><mo>−</mo><mi>P5</mi></mrow></mfenced><mo>/</mo><mn>2</mn></math><img file="EP1908302B1_D0011.tif" /></maths> Finally, letting THRESH be an empirically determined threshold value, we can adaptively compute the missing value, G3, according to: <pre listing-type="program-listing"> IF MAX(HCLAS, VCLAS) &lt; THRESH G3 = (HPRED + VPRED)/2 ELSEIF VCLAS &lt; HCLAS G3 = VPRED ELSE G3 = HPRED END</pre> Thus, if both classifiers are smaller than the threshold value, an average of both predictor values is computed for G3. If not, then either HPRED or VPRED is used depending on which classifier HCLAS or VCLAS is smaller.

0080Once all the missing green values have been estimated, the missing red and blue values are interpolated. As shown in <figref idref="f0010">FIG 19B</figref>, pixel 242 is missing a red value but its two horizontal neighbors, pixels 240 and 244, have red values R2 and R4 respectively. All three pixels have green values. Under these conditions, an estimate for the red value (R3) for pixel 242 is computed as follows: <maths id="math0012"><math display="block"><mi mathvariant="normal">R</mi><mn>3</mn><mo>=</mo><mfenced><mrow><mi mathvariant="normal">R</mi><mn>4</mn><mo>+</mo><mi mathvariant="normal">R</mi><mn>2</mn></mrow></mfenced><mo>/</mo><mn>2</mn><mo>+</mo><mfenced><mrow><mn>2</mn><mo>*</mo><mi mathvariant="normal">G</mi><mn>3</mn><mo>−</mo><mi mathvariant="normal">G</mi><mn>2</mn><mo>−</mo><mi mathvariant="normal">G</mi><mn>4</mn></mrow></mfenced><mo>/</mo><mn>2</mn></math><img file="EP1908302B1_D0012.tif" /></maths> Missing blue values are computed in a similar way under similar conditions. At this point, the only pixels that still have missing red and blue values are those requiring vertical interpolation. As shown in <figref idref="f0010">FIG 19C</figref>, pixel 252 is missing a red value and its two vertical neighbors, pixels 250 and 254, have red values R1 and R5 respectively. Under these conditions, an estimate for the red value (R3) for pixel 252 is computed as follows: <maths id="math0013"><math display="block"><mi mathvariant="normal">R</mi><mn>3</mn><mo>=</mo><mfenced><mrow><mi mathvariant="normal">R</mi><mn>5</mn><mo>+</mo><mi mathvariant="normal">R</mi><mn>1</mn></mrow></mfenced><mo>/</mo><mn>2</mn><mo>+</mo><mfenced><mrow><mn>2</mn><mo>*</mo><mi mathvariant="normal">G</mi><mn>3</mn><mo>−</mo><mi mathvariant="normal">G</mi><mn>1</mn><mo>−</mo><mi mathvariant="normal">G</mi><mn>5</mn></mrow></mfenced><mo>/</mo><mn>2</mn></math><img file="EP1908302B1_D0013.tif" /></maths> Missing blue values are computed in a similar way under similar conditions. This completes the interpolation of the low-resolution partial color image and the result is a low-resolution intermediate color image. As described earlier, the low-resolution color differences can now be computed by subtracting the low-resolution panchrome values from each color plane: red, green, and blue in the example just discussed.

0081Not all sensors produce low-resolution partial color images exhibiting a repeating Bayer pattern of color values. For example, the sensor pattern shown in <figref idref="f0006">FIG. 11A</figref> determines that each cell receives two color values: either green and red, or green and blue. Consequently, in this case, the color interpolation task within the Low-resolution Color Differences block 208 (<figref idref="f0009">FIG. 18</figref>) estimates missing values of red or missing values of blue for each pixel. Referring to <figref idref="f0010">FIG 19D</figref>, a pixel 264 is shown having a green value (G3) but not having a red value (R3). Four of the neighboring pixels 260, 262, 266, and 268 have green values and red values. The method for interpolating the red value for pixel 264 (<figref idref="f0010">FIG. 19D</figref>) is similar to the method used to interpolate the green value for pixel 234 (<figref idref="f0010">FIG. 19A</figref>).

0082The first step is to compute two classifier values, the first relating to the horizontal direction, and the second to the vertical direction: <maths id="math0014"><math display="block"><mi>HCLAS</mi><mo>=</mo><mi>ABS</mi><mfenced><mrow><mi>G4</mi><mo>−</mo><mi mathvariant="normal">G</mi><mn>2</mn></mrow></mfenced><mo>+</mo><mi>ABS</mi><mfenced><mrow><mn>2</mn><mo>*</mo><mi mathvariant="normal">G</mi><mn>3</mn><mo>−</mo><mi mathvariant="normal">G</mi><mn>2</mn><mo>−</mo><mi mathvariant="normal">G</mi><mn>4</mn></mrow></mfenced></math><img file="EP1908302B1_D0014.tif" /></maths><maths id="math0015"><math display="block"><mi>VCLAS</mi><mo>=</mo><mi>ABS</mi><mfenced><mrow><mi mathvariant="normal">G</mi><mn>5</mn><mo>−</mo><mi mathvariant="normal">G</mi><mn>1</mn></mrow></mfenced><mo>+</mo><mi>ABS</mi><mfenced><mrow><mn>2</mn><mo>*</mo><mi mathvariant="normal">G</mi><mn>3</mn><mo>−</mo><mi mathvariant="normal">G</mi><mn>1</mn><mo>−</mo><mi mathvariant="normal">G</mi><mn>5</mn></mrow></mfenced></math><img file="EP1908302B1_D0015.tif" /></maths> Then, compute two predictor values, the first relating to the horizontal direction, and the second to the vertical direction: <maths id="math0016"><math display="block"><mi>HPRED</mi><mo>=</mo><mfenced><mrow><mi mathvariant="normal">R</mi><mn>4</mn><mo>+</mo><mi mathvariant="normal">R</mi><mn>2</mn></mrow></mfenced><mn>2</mn><mo>+</mo><mfenced><mrow><mn>2</mn><mo>*</mo><mi mathvariant="normal">G</mi><mn>3</mn><mo>−</mo><mi mathvariant="normal">G</mi><mn>2</mn><mo>−</mo><mi mathvariant="normal">G</mi><mn>4</mn></mrow></mfenced><mo>/</mo><mn>2</mn></math><img file="EP1908302B1_D0016.tif" /></maths><maths id="math0017"><math display="block"><mi>VPRED</mi><mo>=</mo><mfenced><mrow><mi mathvariant="normal">R</mi><mn>5</mn><mo>+</mo><mi mathvariant="normal">R</mi><mn>1</mn></mrow></mfenced><mo>/</mo><mn>2</mn><mo>+</mo><mfenced><mrow><mn>2</mn><mo>*</mo><mi mathvariant="normal">G</mi><mn>3</mn><mo>−</mo><mi mathvariant="normal">G</mi><mn>1</mn><mo>−</mo><mi mathvariant="normal">G</mi><mn>5</mn></mrow></mfenced><mo>/</mo><mn>2</mn></math><img file="EP1908302B1_D0017.tif" /></maths> Finally, letting THRESH be an empirically determined threshold value, the missing value G3 is computed adaptively according to: <pre listing-type="program-listing"> IF MAX(HCLAS, VCLAS) &lt; THRESH R3 = (HPRED + VPRED)/2 ELSEIF VCLAS &lt; HCLAS R3 = VPRED ELSE R3 = HPRED END</pre> Thus, if both classifiers are smaller than the threshold value, an average of both predictor values is computed for R3. If not, then either HPRED or VPRED is used depending on which classifier HCLAS or VCLAS is smaller.

0083The missing blue values are interpolated in exactly the same way using blue values in place of red. Once completed, the low-resolution intermediate color image has been produced. From there, the low-resolution color differences are computed as previously described.

0084The invention has been described in detail with particular reference to certain preferred embodiments thereof, but it will be understood that variations and modifications are effected within the scope of the invention.

PARTS LIST

0085<dl id="dl0001" compact="compact"><dt>10</dt><dd>light from subject scene</dd><dt>11</dt><dd>imaging stage</dd><dt>12</dt><dd>lens</dd><dt>13</dt><dd>neutral density filter</dd><dt>14</dt><dd>iris</dd><dt>16</dt><dd>brightness sensor</dd><dt>18</dt><dd>shutter</dd><dt>20</dt><dd>image sensor</dd><dt>22</dt><dd>analog signal processor</dd><dt>24</dt><dd>analog to digital (A/D) converter</dd><dt>26</dt><dd>timing generator</dd><dt>28</dt><dd>image sensor stage</dd><dt>30</dt><dd>digital signal processor (DSP) bus</dd><dt>32</dt><dd>digital signal processor (DSP) memory</dd><dt>36</dt><dd>digital signal processor (DSP)</dd><dt>38</dt><dd>processing stage</dd><dt>40</dt><dd>exposure controller</dd><dt>50</dt><dd>system controller</dd><dt>52</dt><dd>system controller bus</dd><dt>54</dt><dd>program memory</dd><dt>56</dt><dd>system memory</dd><dt>57</dt><dd>host interface</dd><dt>60</dt><dd>memory card interface</dd><dt>62</dt><dd>memory card socket</dd><dt>64</dt><dd>memory card</dd><dt>68</dt><dd>user control and status interface</dd><dt>70</dt><dd>viewfinder display</dd><dt>72</dt><dd>exposure display</dd><dt>74</dt><dd>user inputs</dd><dt>76</dt><dd>status display</dd><dt>80</dt><dd>video encoder</dd><dt>82</dt><dd>display controller</dd><dt>88</dt><dd>image display</dd><dt>100</dt><dd>minimal repeating unit for Bayer pattern</dd><dt>102</dt><dd>repeating unit for Bayer pattern that is not minimal</dd><dt>110</dt><dd>spectral transmission curve of infrared blocking filter</dd><dt>112</dt><dd>unfiltered spectral photoresponse curve of sensor</dd><dt>114</dt><dd>red photoresponse curve of sensor</dd><dt>116</dt><dd>green photoresponse curve of sensor</dd><dt>118</dt><dd>blue photoresponse curve of sensor</dd><dt>120</dt><dd>first green cell</dd><dt>122</dt><dd>red cell</dd><dt>124</dt><dd>blue cell</dd><dt>126</dt><dd>second green cell</dd><dt>202</dt><dd>low-resolution partial color block</dd><dt>204</dt><dd>high-resolution panchromatic block</dd><dt>206</dt><dd>low-resolution panchromatic block</dd><dt>208</dt><dd>low-resolution color differences block</dd><dt>210</dt><dd>high-resolution color differences block</dd><dt>212</dt><dd>high-resolution final image block</dd><dt>220</dt><dd>first green cell</dd><dt>222</dt><dd>green pixels in first green cell</dd><dt>224</dt><dd>red cell</dd><dt>226</dt><dd>blue cell</dd><dt>228</dt><dd>second green cell</dd><dt>230</dt><dd>upper pixel values for interpolating missing green value</dd><dt>232</dt><dd>left pixel values for interpolating missing green value</dd><dt>234</dt><dd>pixel with missing green value</dd><dt>236</dt><dd>right pixel values for interpolating missing green value</dd><dt>238</dt><dd>lower pixel values for interpolating missing green value</dd><dt>240</dt><dd>left pixel values for interpolating missing red value</dd><dt>242</dt><dd>pixel with missing red value</dd><dt>244</dt><dd>right pixel values for interpolating missing red value</dd><dt>250</dt><dd>upper pixel values for interpolating missing red value</dd><dt>252</dt><dd>pixel with missing red value</dd><dt>254</dt><dd>lower pixel values for interpolating missing red value</dd><dt>260</dt><dd>upper pixel values for interpolating missing red value</dd><dt>262</dt><dd>left pixel values for interpolating missing red value</dd><dt>264</dt><dd>pixel with missing red value</dd><dt>266</dt><dd>right pixel values for interpolating missing red value</dd><dt>268</dt><dd>lower pixel values for interpolating missing red value</dd></dl>