Abstract
This paper describes a data compression system using Evolvable Hardware (EHW) for digital color electrophotographic (EP) printers. EP printing is an important technology within digital printing, which is currently having a significant impact on the printing and publishing industry. Although, it requires data-compression to reduce the cost for transferring and storing large EP images, traditional techniques can not handle this data-compression well. This paper explains how EHW can be used as a compression system. EHW can change the compression method according to the characteristics of the image. The proposed EHW-based compression system can compress approximately twice as much data as JBIG, the current international standard.
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Reference
International Telegraph and Telephone Consultative Committee (CCITT): Progressive Bi-level Image Compression, Recommendation T.82 (1993).
Pennebaker, W. B., et al.: An overview of the basic principles of the Q-coder, IBM Journal of Research & Development 32 (6), pp.717–726 (1988).
Forchhammer, S. and Jansen, K. S.: Data Compression of Scanned Halftone Images, IEEE Transactrion on Communications, vol.42, no.2, pp.1881–1893 (1994).
Forchhammer, S.: Adaptive Context for JBIG Compression of Bi-Level Halftone Images, Proc. of the 1993 Data Compression Conference (DCC’93), pp.431, IEEE Computer Society Press (1993).
Higuchi, T., et al.: Evolvable Hardware with Genetic Learning, Proceedings of Simulated Adaptive Behavior, The MIT Press (1992).
Yao, X. and Higuchi, T.: Promises and Challenges of Evolvable Hardware, Evolvable Systems: From Biology to Hardware, pp.55–78, Springer (1996).
Holland, J. H.: Adaptation in Natural and Artificial Systems, p.183, University of Michigan Press (1989).
Goldberg, D. E.: Genetic Algorithms in Search, Optimization and Machine Learning, p.412, Addison-Wesley (1989).
Davis, L. (ed.): Handbook of Genetic Algorithms, p.385: Nostrand (1991).
Bennett III, F. H., et al.: Evolution of a 60 Decibel Op Amp Using Genetic Programming, Evolvable Systems: From Biology to Hardware, pp.455–469, Springer (1996).
Murakawa, M., et al.: On-line Adaptation of Neural Networks with Evolvable Hardware, Proc. of ICGA7, pp.792–799, Morgan Kaufmann (1997).
Salami, M. et al.: On-Line Compression of High Precision Printer Images by Evolvable Hardware, Proc. of the 1998 Data Compression Conference (DCC’98), IEEE Computer Society Press.
Grefenstette, J. J.: Genetic Algorithms for changing environment, Parallel Problem Solving from Nature, 2, pp.137–144, Elsevier (1992).
Dasgupta, D. and McGregor, D. R.: Nonstationary Function Optimization using the Structured Genetic Algorithm, Parallel Problem Solving from Nature, 2, pp.145–154. Elsevier (1992).
Sakanashi, H., et al.: Data Compression for Digital Color Electrophotographic Printer with Evolvable Hardware, Proc. of the 15th National Conf. on Artificial Intelligence (AAAI-98), AAAI Press (1998).
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Tanaka, M., Sakanashi, H., Salami, M., Iwata, M., Kurita, T., Higuchi, T. (1998). Data compression for digital color electrophotographic printer with Evolvable Hardware. In: Sipper, M., Mange, D., Pérez-Uribe, A. (eds) Evolvable Systems: From Biology to Hardware. ICES 1998. Lecture Notes in Computer Science, vol 1478. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0057612
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DOI: https://doi.org/10.1007/BFb0057612
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