IEEJ Transactions on Electronics, Information and Systems
Online ISSN : 1348-8155
Print ISSN : 0385-4221
ISSN-L : 0385-4221
<Softcomputing, Learning>
Mixed Constrained Image Filter Design for Salt-and-Pepper Noise Reduction Using Genetic Algorithm
Zhiguo BaoFangfang WangXiaoming ZhaoTakahiro Watanabe
Author information
JOURNAL FREE ACCESS

2011 Volume 131 Issue 3 Pages 584-591

Details
Abstract
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.
Content from these authors
© 2011 by the Institute of Electrical Engineers of Japan
Previous article Next article
feedback
Top