ABSTRACT
An evident trend in the imaging literature has been the closure of the gap between image compression and processing applications. Research has been conducted to develop compression techniques that increase the efficiency or accuracy of subsequent pattern recognition tasks. This entry surveys state-of-the-art trends in compressive processing and describes one of its spin-offs, a fractal-based pattern recognition method. An overview of compressive-processing techniques is presented, and a description of a pattern recognition algorithm inspired from fractal-based, quadtree-partitioning compression is described.
