Visual-pattern-based color image compression
Gerald Schaefer, Guoping Qiu, Ming Ronnier Luo · Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1998
A novel color image coding technique based on visual patterns is presented. Visual patterns, a concept first introduced by Chen and Bovik, are image blocks representing visually meaningful information. A method has been developed to extend the concept of visual patterns (originally developed for grayscale images) to color image coding. A mapping criterion has been developed to map small image blocks to a set of predefined, universal visual patterns in a uniform color space. Source coding and color quantization are applied to achieve efficient coding. Compression ratios between 40:1 and 60:1 (0.6 - 0.4 bpp) have been achieved; subjective as well as objective measures show that the new method is comparable to state-of-the-art techniques such as JPEG.