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  • 标题:A Novel Fuzzy Image Enhancement using S-Shaped Membership Function
  • 本地全文:下载
  • 作者:Pushpa Devi Patel ; Prof. Vijay Kumar Trivedi ; Dr. Sadhna Mishra
  • 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
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