Towards intrinsic evolvable hardware for predictive lossless image compression

Jingsong HE, Xin YAO, Jian TANG

Research output: Book Chapters | Papers in Conference ProceedingsConference paper (refereed)Researchpeer-review

3 Citations (Scopus)


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. © Springer-Verlag Berlin Heidelberg 2006.
Original languageEnglish
Title of host publicationSimulated Evolution and Learning : 6th International Conference, SEAL 2006, Hefei, China, October 15-18, 2006, Proceedings
EditorsTzai-Der WANG, Xiaodong LI, Shu-Heng CHEN, Xufa WANG, Hussein ABBASS, Hitoshi IBA, Guo-Liang CHEN, Xin YAO
PublisherSpringer Berlin Heidelberg
Number of pages8
ISBN (Electronic)9783540473329
ISBN (Print)9783540473312
Publication statusPublished - 2006
Externally publishedYes

Publication series

NameLecture Notes in Computer Science
PublisherSpringer Berlin, Heidelberg
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349


  • Binary String
  • Error Matrix
  • Predictive Function
  • Evolvable Hardware
  • Circuit Resource


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