Image noise detection

Image analysis – Image enhancement or restoration – Edge or contour enhancement

Reexamination Certificate

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Reexamination Certificate

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07940996

ABSTRACT:
An image comprises columns and rows of blocks of pixels. In each row and/or column, a series of pairs of blocks of pixels comprise first and second adjacent blocks of pixels, with the second block in a previous pair of blocks corresponding to the first block in a next pair of blocks. For at least a part of the pairs of blocks in at least a part of the rows and/or columns of blocks in the image, a method determines an indication of a block boundary between the first and second blocks. The method decides based on the determined indication whether the block boundary is a visible or invisible block boundary. These steps are then repeated for a next pair. If at least one invisible block boundary is present between two visible block boundaries, it is decided that a uniform image distortion zone has been detected.

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Pan et al., “A locally adaptive algorithm for measuring blocking artifacts in images and videos,” Signal Processing: Image Communication, vol. 19, 2004, pp. 499-506.
Chou, J. et al., “A Simple Algorithm for Removing Blocking Artifacts in Block-Transform Coded Images,” IEEE Signal Processing Letters, vol. 5, No. 2, Feb. 1998, pp. 33-35.
Pan, F. et al., “A Locally-Adaptive Algorithm for Measuring Blocking Artifacts in Images and Videos,” Proceedings of the International Symposium on Circuits and Systems, May 23, 2004, pp. 925-928.

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