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http://dx.doi.org/10.5391/JKIIS.2005.15.4.467

A Comparative Study on Image Enhancement Methods for Low Contrast Images  

Kim, Yong-Soo (대전대학교 컴퓨터공학부)
Kim, Nam-Jin (삼성전자 정보통신총괄 무선사업부)
Lee, Se-Yul (청운대학교 컴퓨터학과)
Publication Information
Journal of the Korean Institute of Intelligent Systems / v.15, no.4, 2005 , pp. 467-472 More about this Journal
Abstract
The principal objective of enhancement methods is to process an image so that the output image is more suitable than the original image lot a specific application. Images taken in the night can be low-contrast images because of poor environments. In this paper, we compared the performance of Image Contrast Enhancement Technique Using Clustering Algorithm(ICECA) with those of color adjustment methods such as Histogram Equalization(HE), Brightness Preserving Bi-Histogram Equalization(BBHE), and the Multi-Scale Refiner(MSR). We compared these methods by applying the image enhancement methods to a set of diverse images.
Keywords
Image Enhancement; ICECA; Retinex Theory; BBHE; HE; SSR; MSR;
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