Context-aware image processing

摘要

In one respect, provided are systems, methods and techniques in which local regions within an image are processed to provide fuzzy classification scores, which are calculated by determining changes in pixel values along a number of different directions. The resulting fuzzy classification scores are then used to detect or identify edge-containing or texture-containing regions, or to otherwise process the image regions differentially according to their fuzzy classification score. In another respect, provided are systems, methods and techniques for differential processing of different areas in an image. The differential processing in this case is based on calculated measures of local activity, which indicate features in corresponding local regions, and also based on calculated measures of local pixel-value variations, which indicate an amount of variation in pixel values across the corresponding local regions.

主权项

1. A method of processing an image, comprising:
obtaining an image to be processed; calculating via a central processing unit a classification score for each of a plurality of locations in the image, each of the classification scores indicating whether the corresponding location primarily contains (i) background, (ii) at least one of texture or weak edges, or (iii) strong features; and differentially processing via the central processing unit different areas of the image based on the classification scores to generate a modified image, wherein each of the classification scores is calculated by determining changes in pixel values along a plurality of different directions, wherein the differential processing is a piece-wise function of data in the image, the piece-wise function comprised of different segments determined b each of the classification scores.