Adaptive fuzzy hybrid multichannel filters for removal of impulsive noise from color images

作     者：Tsai, HH Yu, PT 

作者机构：Natl Chung Cheng Univ Dept Comp Sci & Informat Engn Chiayi 62107 Taiwan 

出 版 物：《SIGNAL PROCESSING》 (信号处理)

年 卷 期：1999年第74卷第2期

页      面：127-151页

核心收录：

学科分类：0808[工学-电气工程] 08[工学] 

基　　金：National Science Council  NSC  (NSC88-2213-E-194-011) 

主　　题：multichannel filter fuzzy rule-based system learning algorithm color image restoration impulsive noise 

摘      要：On the design of multichannel filters, especially in color image restoration, it is not easy to simultaneously achieve three objectives: noise attenuation, chromaticity retention, and edges or details preservation. In this paper, we propose a new class of multichannel filters called adaptive fuzzy hybrid multichannel (AFHM) filters to achieve these three objectives simultaneously. Our novel approach is mainly based on human concept (heuristic rules) and provides a significant framework to take the merits of filtering behavior of three filters: a vector median (VM) filter, a vector directional (VD) filter, and an identity filter. On the design of an AFHM filter, our approach is a powerful and flexible scheme to achieve these three objectives because human concept can be efficiently expressed by fuzzy implicative rules for improving the filtering performance. The AFHM filters are able to effectively inherit the merits of filtering behaviors of these three filters in color image restoration applications. This is the first paper to include human concept to design multichannel filters. Moreover, a faster convergence property of the learning algorithm is investigated to reduce the time complexity of the AFHM filters. Extensive simulation results illustrate that AFHM filters not only achieve these three objectives but also possess the robust and adaptive capabilities, and demonstrate that the performance of AFHM filters outperforms that of other proposed filtering techniques. (C) 1999 Elsevier Science B.V. All rights reserved.