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.
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© 2006 Springer Science+Business Media, LLC.
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Sakanashi, H., Iwata, M., Higuchi, T. (2006). EHW Applied to Image Data Compression. In: Higuchi, T., Liu, Y., Yao, X. (eds) Evolvable Hardware. Genetic and Evolutionary Computation. Springer, Boston, MA . https://doi.org/10.1007/0-387-31238-2_2
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DOI: https://doi.org/10.1007/0-387-31238-2_2
Publisher Name: Springer, Boston, MA
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