Mixed Constrained Image Filter Design for Salt-and-Pepper Noise Reduction Using Genetic Algorithm (特集 非線形電子回路)

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概要

• 論文の詳細を見る

• This paper describes mixed constrained image filter design for noise reduction using a Genetic Algorithm (GA) with parameterized uniform crossover. The proposed method with GA autonomously synthesizes a filter suitable for the reconfigurable processing array, evaluating the complexity, power and signal delay in both Configurable Logic Blocks (CLBs) and wires. An image filter for noise reduction is experimentally synthesized to verify the validity of the proposed method. By the evolution, the quality of the optimized image filter is better than that reported in other papers.

• 社団法人 電気学会の論文

著者

• BAO Zhiguo

  Graduate School of Information, Production and Systems, Waseda University

• WATANABE Takahiro

  Graduate School of Information, Production and Systems, Waseda University

• Wang Fangfang

  Graduate School of Information, Production and Systems, Waseda University

• Zhao Xiaoming

  Graduate School of Information, Production and Systems, Waseda University

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