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Contrast Enhancement Based on Weight Mapping Retinex Algorithm  

Lee, Sang-Won (Department of Electronic Engineering, Kwangwoon University)
Song, Chang-Young (Department of Electronic Engineering, Kwangwoon University)
Cho, Seong-Soo (Department of Electronic Engineering, Kwangwoon University)
Kim, Seong-Ihl (Department of Electronic Engineering, Kwangwoon University)
Lee, Won-Seok (School of Electrical Engineering, Dongyang Technical College)
Kang, June-Gill (Department of Electronic Engineering, Kwangwoon University)
Publication Information
전자공학회논문지 IE / v.46, no.4, 2009 , pp. 31-41 More about this Journal
Abstract
The Image sensor of digital still camera has a limited dynamic range. In high dynamic range scenes, a picture often turns out to be underexposed or overexposed. Retinex algorithm based on the theory of the human visual perception is known to be effective contrast enhancement technique. However, it happens the unbalanced contrast enhancement which is the global contrast increased, and the local contrast decreased in the high dynamic range scenes. In this paper, to enhance the both global and local contrast, we propose the weight mapping retinex algorithm. Weight map is composed of the edge and exposure data which are extracted in the each retinex image, and merged with the retinex images in the fusion processing. According to the output picture comparing and numerical analysis, the proposed algorithm gives the better output image with the increased global and local contrast.
Keywords
image processing; contrast enhancement; retinex; weight map; image fusion;
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