USRE40469E

Apparatus and method for interpolating binary pictures, using context probability table

Claim Score by NHIP

Read claim 12, the broadest

Abstract

A context probable table of context template is employed in order to interpolate binary picture information. The context template for respective pixels making up the binary picture information is made, and probabilities for the interior of an object and the exterior of the object on its context indexes are obtained from the context probable table arranged previously. The probabilities for the interior and exterior of the object are compared with each other and the binary picture information is interpolated with a value having more probability.

USRE40469E, drawing sheet 1
Sheet 1 of 13

Term

Term ended

Expired 9 July 2018, 8.2 years ago.

  1. Priority
  2. Filed
  3. Granted
  4. Expired
  5. Today

13 claims: 3 independent, 10 dependent

  1. 1
    A method for interpolating an original picture in a frame unit (a binary picture:BAB) by using a context probability table set previously in order to reconstruct the original picture in the frame unit having low resolution as the picture having high resolution through an up-sampling, said method comprising the steps of: dividing said original picture in the frame unit into a plurality of blocks (each having a size of 8×8 pixels);extending each of said plurality of blocks divided to a double size;forming a context template for an interpolating pixel in each of the extended blocks;getting indexes of the context template to obtain a probability value indicating whether or not a pixel value is detected and obtaining the probability value of the interpolating pixel from the context probability table set previously by a use of the indexes of the context template obtained;and deciding the interpolating pixel value (‘0’ or ‘1’) based on the context probability value obtained of the interpolating pixel.
  2. 8
    An apparatus having block dividing means, bordering means, and horizontal and vertical interpolation means and for interpolating an original picture in a frame unit (a binary picture:BAB) by using a context probability table set previously in order to reconstruct the original picture in the frame unit having low resolution as the picture having high resolution through an up-sampling, said apparatus comprising: said bordering means being composed of block position detecting means for detecting a position of each of the divided blocks from said block dividing means in the original picture in the frame unit, copy means for receiving the position of the divided block outputted from said block position detection means and bordering the block of a given size on the top, left and upper side and left side of the block to be bordered, and memory for storing the blocks bordered from said copy means and outputting the information on the neighboring blocks of the block to be bordered to said copy means;and said horizontal and vertical interpolation means being composed of context calculating means for receiving the bordered blocks in said bordering means and calculating context indexes for respective pixels of the bordered blocks, probability table referring means for receiving the context indexes from said context calculating means and reading and getting probability values corresponding to the index on/from the context probability table set previously, probability detecting means for detecting whether or not the probability value read and gotten on/from said probability table referring means is more than 0.5, and interior/exterior interpolation means for interpolating a value “0” or “1” for the respective pixels on the bordered block in response to the detection result signal of said probability detecting means.
  3. 12
    Broadest claimClaim Score 75, broad(NHIP)An interpolating method for reconstructing a restored picture having high resolution by up- sampling a binary picture having low resolution, said method comprising the steps of:forming context templates for target pixels to be interpolated;obtaining a context index of the context templates and a probability value of the target pixel from context probability table by using the context index of the context templates;deciding a value for the target pixel based on the context probability.