文章基本信息

标题：Image Enhancement using Fuzzy Intensity Measure and Adaptive Clipping Histogram Equalization
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作者：Xiangyuan Zhu ; Xiaoming Xiao ; Tardi Tjahjadi 等
期刊名称：IAENG International Journal of Computer Science
印刷版ISSN：1819-656X
电子版ISSN：1819-9224
出版年度：2019
卷号：46
期号：3
页码：395-408
出版社：IAENG - International Association of Engineers
摘要：Image enhancement aims at processing an inputimage so that the visual content of the output image is morepleasing or more useful for certain applications. Althoughhistogram equalization is widely used in image enhancement dueto its simplicity and effectiveness, it changes the mean brightnessof the enhanced image and introduces a high level of noise anddistortion. To address these problems, this paper proposesimage enhancement using fuzzy intensity measure and adaptiveclipping histogram equalization (FIMHE). FIMHE uses fuzzyintensity measure to first segment the histogram of the originalimage, and then clip the histogram adaptively in order toprevent excessive image enhancement. Experiments on theBerkeley database and CVF-UGR-Image database show thatFIMHE outperforms state-of-the-art histogram equalizationbased methods.
关键词：Image enhancement; histogram equalization;fuzzy intensity measure; adaptive clipping