アラカワ　カオル   Arakawa Kaoru   荒川　薫    所属   明治大学  総合数理学部    職種   専任教授
言語種別	英語
発行・発表の年月	2012/07
形態種別	国際会議議事録
標題	Complex Rule-Based Filter for Impulsive Noise Reduction in Color Images Optimized by Interactive Evolutionary Computing
執筆形態	共著(筆頭者以外)
掲載誌名	Proc. ITC-CSCC 2012
巻・号・頁	pp.D-T2-04
著者・共著者	Yohei Katsuyama and Kaoru Arakawa
概要	A method for removing impulsive noise from color images which utilizes noise detection with interactive evolutionary computing (IEC) is proposed. This system is realized as a complex rule-based filter composed of median filters and an interpolative technique. The Median filter is good for removing impulsive noise but tends to make the image blurred, while the interpolative filter can avoid blurring, but cannot remove high-density noise well. Effective noise removal can be realized by switching them depending on how the noise is added. Since the performance is influenced by the accuracy of noise detection, multiple rules with parameters are applied in the system. In order to optimize these parameters, IEC is adopted. IEC can also consider human subjective criteria to image quality. Computer simulations show the high performance of this system in actual noise reduction for color images.