EHW Applied to Image Data Compression

  • Hidenori Sakanashi
  • Masaya Iwata
  • Tetsuya Higuchi
Part of the Genetic and Evolutionary Computation book series (GEVO)

Abstract

In this chapter, EHW is applied to the lossless image compression, and it is implemented in a chip. The current international standard for bi-level image coding, JBIG2-AMD2, is modified by the proposed method to achieve high compression ratios, where compression parameters are optimized by the enhanced genetic algorithm (GA). The results of computer simulations show a 171% improvement in compression ratios with the proposed method compared to JBIG2 without optimization. The experiment shows that when the method is implemented by hardware with an evolvable hardware chip, the processing speed is dramatically faster than execution with software. This chapter also de-scribes activities concerning ISO standardization to adopt part of the technology used in this method to the JBIG2 standard.

Key words

data compression JBIG2 (Joint Bi-level Image experts Group, 2) ISO/TEC standard EHW chip 

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Copyright information

© Springer Science+Business Media, LLC. 2006

Authors and Affiliations

  • Hidenori Sakanashi
    • 1
  • Masaya Iwata
    • 1
  • Tetsuya Higuchi
    • 1
  1. 1.MIRAI Project, Advanced Semiconductor Research Center (ASRC)National Institute of Advanced Industrial Science and Technology (AIST)Japan

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