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http://dx.doi.org/10.9717/kmms.2017.20.9.1481

Image Quality Enhancement Method using Retinex in HSV Color Space and Saturation Correction  

Kang, Han-Sol (Dept. of Mechatronics Engineering, Chungnam National University)
Ko, Yun-Ho (Dept. of Mechatronics Engineering, Chungnam National University)
Publication Information
Journal of Korea Multimedia Society / v.20, no.9, 2017 , pp. 1481-1490 More about this Journal
Abstract
This paper presents an image quality enhancement algorithm for dark image acquired under poor lighting condition. Various retinex algorithms which are human perception-based image processing methods were proposed to solve this problem. Although MSR(Multi-Scale Retinex) among these algorithm works well under most lighting condition, it shows color degradation because their separate nonlinear processing of RGB color channels. To compensate for the loss of the color, MSRCR(Multi-Scale Retinex with Color Restoration) was proposed. However, it requires high computational load and has additional parameters that need to be adjusted according to input image. In order to overcome this problem, a new retinex algorithm based on MSR is proposed in this paper. The proposed method consists of V channel MSR, saturation correction, and separate contrast enhancement process. Experimental results show that the subjective and objective image quality of the proposed method better than those of the conventional methods.
Keywords
Retinex; MSR; HSV Color Space; Intensity Enhancement; Image Quality Enhancement;
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Times Cited By KSCI : 2  (Citation Analysis)
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