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http://dx.doi.org/10.17662/ksdim.2019.15.1.099

Performance Analysis of Retinex-based Image Enhancement According to Color Domain and Gamma Correction Adaptation  

Kim, Donghyung (한양여자대학교 컴퓨터정보과)
Publication Information
Journal of Korea Society of Digital Industry and Information Management / v.15, no.1, 2019 , pp. 99-107 More about this Journal
Abstract
Retinex-based image enhancement is a technique that utilizes the property that the human visual characteristics are sensitive to the difference from the surrounding pixel value rather than the pixel value itself. These Retinex-based algorithms show different characteristics of the improved image depending on the applied color space or gamma correction. In this paper, we set eight different experimental conditions according to the application of color space and gamma correction, and analyze the objective and subjective performance of each Retinex based image enhancement algorithm and apply it to the implementation of Retinex based algorithm. In the case of gamma correction, quantitative low entropy images and low contrast images are obtained. The application of Retinex technique in HSI color space rather than RGB color space is found to be high in overall subjective image quality as well as maintaining color.
Keywords
Retinex-based Image Enhancement; Single Scale Retinex; Multi Scale Retinex; Color Space; Gamma Correction;
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Times Cited By KSCI : 1  (Citation Analysis)
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