文章基本信息

标题：A Novel Fuzzy Image Enhancement using S-Shaped Membership Function
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作者：Pushpa Devi Patel ; Prof. Vijay Kumar Trivedi ; Dr. Sadhna Mishra 等
期刊名称：International Journal of Computer Science and Information Technologies
电子版ISSN：0975-9646
出版年度：2015
卷号：6
期号：1
页码：564-569
出版社：TechScience Publications
摘要：Image enhancement is a process of improving the quality of image by improving its feature. Contrast enhancement is one of the challenging and interesting areas of image processing. Image enhancement plays a vital role in aerial image, medical images, even real life photographs, all these suffers from poor contrast. But the problem of existing contrast enhancement techniques are over-enhancement and under-enhancement and it can be rectified by using S-Shaped function of fuzzy set theory. So in this paper we proposed a new fuzzy image enhancement algorithm, which maps elements from image pixel plane to fuzzy plane using ramp function and to transformed plane by using fuzzy S-Shaped membership function. Performance metrics proves the improvement over other existing fuzzy technique of contrast enhancement.
关键词：Contrast enhancemen; Fuzzy sets; S-Shaped;function; Fuzzy Image Enhancement; Over-enhancement