文章基本信息

标题：A Survey Paper Based On Contrast Enhancement of Gray Image Using Fuzzy Based Contrast Intensification Operator
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作者：Pooja Mishra ; khomlal sinha
期刊名称：International Journal of Advanced Research in Computer Engineering & Technology (IJARCET)
印刷版ISSN：2278-1323
出版年度：2014
卷号：3
期号：8
页码：2618-2622
出版社：Shri Pannalal Research Institute of Technolgy
摘要：In this recent period, the image processing plays a key function in different fields of engineering and Research. Perhaps to increase the effectiveness of this field, quality of an image should be enhanced to support the human sensitivity or machine visualization. The contrast of an image is defined as difference of gray levels presented in the image. There are a number of conventional methods available for image contrast enhancement, like Gamma Correction, Power law transformation, histogram equalization etc. they all are based on the crisp logic. In this paper a novel approach for gray image contrast enhancement is proposed using the fuzzy logic based contrast intensification operator. The proposed method treats with the fuzzy logic based method because, fuzzy logic is a strong tool to handle vagueness, uncertainty and since images are vague in terms of pixel values fuzzy logic .After following proposed algorithm it is expected that efficient contrast improvement than the conventional techniques such as histogram equalization and adaptive histogram equalization will be achieved.What we do is to give different labels for our object we know .
关键词：Image contrast enhancement; soft computing; fuzzy ; logic; uncertainty; histogram equalization