Mixed Constrained Image Filter Design for Salt-and-Pepper Noise Reduction Using Genetic Algorithm-Reference-Cited by-同舟云学术

Mixed Constrained Image Filter Design for Salt-and-Pepper Noise Reduction Using Genetic Algorithm

Published:2011 Issue:3 Volume:131 Page:584-591
ISSN:0385-4221
Container-title:IEEJ Transactions on Electronics, Information and Systems
language:en
Short-container-title:IEEJ Trans.EIS

Author:

Bao Zhiguo¹,Wang Fangfang¹,Zhao Xiaoming¹,Watanabe Takahiro¹

Affiliation:

1. Graduate School of Information, Production and Systems, Waseda University

Publisher

Institute of Electrical Engineers of Japan (IEE Japan)

Subject

Electrical and Electronic Engineering

Link

http://www.jstage.jst.go.jp/article/ieejeiss/131/3/131_3_584/_pdf

Reference19 articles.

1. (1) T. Higuchi, T. Niwa, T. Tanaka, H. Iba, H. de Garis, and T. Furuya: “Evolving hardware with genetic learning: a first step towards building a Darwin machine”, Proc. the Second International Conference on Simulated Adaptive Behaviour, pp. 417-424, MIT Press (1993)

2. (2) H. de Garis: “Evolvable hardware: Genetic programming of a Darwin machine”, Proc. International Conference on Artificial Neural Networks and Genetic Algorithms, pp. 441-449, Innsbruck, Austria, Springer (1993)

3. Real-world applications of analog and digital evolvable hardware

4. Promises and challenges of evolvable hardware

5. (5) L. Sekanina: “Evolutionary Design of Digital Circuits: Where Are Current Limits?”, Proc. The First NASA/ESA Conference on Adaptive Hardware and Systems 2006 (AHS 2006), pp. 171-178, Piscataway, US, IEEE Computer Society (2006-6)

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