文章基本信息

标题：Extensive study of image enhancement via stochastic optimization technique:MPSO
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作者：Sarbjeet Singh ; Ankita Pandey
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2012
卷号：1
期号：9
页码：103-107
出版社：Shri Pannalal Research Institute of Technolgy
摘要：Recent literatures show how modified particle swarm had achieved its name and fame over its parental algorithm called as PSO by optimizing. In this paper we exploit its advantage over image enhancement for improving image contents. This makes handy for visualizing the information from enhanced images. Work deal with use of parameterized transformation and objective function for local/global information and entropy/edge information respectively by modified PSO. Quality of Image is controlled by scaling factor and helps us in situation like gnaut. Enhancement is wide study and we had attempted to use MPSO for this field. Results clearly visualize the effect of color image enhancement and gray scale level enhancement.
关键词：segmentation; transforamtion function; ; ojective ; function;HIS color space;CIE; GLE; MPSO; histogram ; equalization