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Image compression of natural images using artificial gene regulatory networks

Published: 07 July 2010 Publication History

Abstract

A novel approach to image compression using a gene regulatory network (GRN) based artificial developmental system (ADS) is introduced. The proposed algorithm exploits the fact that a series of complex organisms (≡ developmental states) can be represented via a GRN description and the indices of the developmental steps in which they occur. Organisms are interpreted as tiles of an image at each developmental step which results in the (re-)construction of an image during the developmental process. It is shown that GRNs are suitable for image compression and achieve higher compression rates than JPEG when optimised for a particular image. It is also shown that the same GRN has the potential to encode multiple images, each represented by a different series of numbers of developmental steps.

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    cover image ACM Conferences
    GECCO '10: Proceedings of the 12th annual conference on Genetic and evolutionary computation
    July 2010
    1520 pages
    ISBN:9781450300728
    DOI:10.1145/1830483
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    Published: 07 July 2010

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    Author Tags

    1. ads
    2. artificial development
    3. artificial developmental system
    4. evolutionary computation
    5. gci
    6. gene regulatory network
    7. grn
    8. image compression

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    • (2013)On the Advantages of Variable Length GRNs for the Evolution of Multicellular Developmental SystemsIEEE Transactions on Evolutionary Computation10.1109/TEVC.2012.218584817:1(100-121)Online publication date: 1-Feb-2013
    • (2011)An Investigation of the Importance of Mechanisms and Parameters in a Multicellular Developmental SystemIEEE Transactions on Evolutionary Computation10.1109/TEVC.2011.213272415:3(313-345)Online publication date: 1-Jun-2011

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