Visual-pattern-based color image compression

Gerald Schaefer; Guoping Qiu; Ming Ronnier Luo

doi:10.1117/12.334751

28 December 1998 Visual-pattern-based color image compression

Gerald Schaefer, Guoping Qiu, Ming Ronnier Luo

Proceedings Volume 3653, Visual Communications and Image Processing '99; (1998) https://doi.org/10.1117/12.334751
Event: Electronic Imaging '99, 1999, San Jose, CA, United States

Abstract

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.

Citation Download Citation

Gerald Schaefer, Guoping Qiu, and Ming Ronnier Luo "Visual-pattern-based color image compression", Proc. SPIE 3653, Visual Communications and Image Processing '99, (28 December 1998); https://doi.org/10.1117/12.334751

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