文章基本信息

标题：Image Filtering Using all Neighbor Directional Weighted Pixels: Optimization Using Particle Swarm Optimization
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作者：J. K. Mandal ; Somnath Mukhopadhyay
期刊名称：Signal & Image Processing : An International Journal (SIPIJ)
印刷版ISSN：2229-3922
电子版ISSN：0976-710X
出版年度：2011
卷号：2
期号：4
页码：187
出版社：Academy & Industry Research Collaboration Center (AIRCC)
摘要：In this paper a novel approach for de noising images corrupted by random valued impulses has beenproposed. Noise suppression is done in two steps. The detection of noisy pixels is done using all neighbordirectional weighted pixels (ANDWP) in the 5 x 5 window. The filtering scheme is based on minimumvariance of the four directional pixels. In this approach, relatively recent category of stochastic globaloptimization technique i.e., particle swarm optimization (PSO) has also been used for searching theparameters of detection and filtering operators required for optimal performance. Results obtained showsbetter de noising and preservation of fine details for highly corrupted images.
关键词：ADWNP; de noising; random valued impulse noise; miss and false; particle swarm optimization; swarm;intelligence; sensitivity and specificity