Towards intrinsic evolvable hardware for predictive lossless image compression

Authors:
Jingsong He;Xin Yao;Jian Tang
Affiliations:
Nature Inspired Computation and Applications Laboratory (NICAL);Nature Inspired Computation and Applications Laboratory (NICAL);Department of Electronic Science and Technology, University of Science and Technology of China
Venue:
SEAL'06 Proceedings of the 6th international conference on Simulated Evolution And Learning
Year:
2006

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Abstract

This paper presents a novel method for predictive lossless image compression via evolving a set of switches, which can be implemented easily by intrinsic evolvable hardware mode. A set of compounded mutations for binary chromosome through combining the local asexually reproducing with multiple mean step size search was proposed, and a gradually approach method for evolving larger scale images was fabricated. Experimental results show that the proposed method can reduce the computing time much more, and can scale up the image size increasing up to 70 times with relative slower increase speed of computing time.