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K-Retinex Algorithm for Fast Back-Light Compensation  

Kang, Bong-Hyup (Korea University, Department of Electroncs & Computer Engineering)
Jeon, Chang-Won (Korea University, Department of Electroncs & Computer Engineering)
Ko, Han-Seok (Korea University, Department of Electroncs & Computer Engineering)
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Abstract
This paper presents an enhanced algorithm for compensating the visual quality in back-light image. Current cameras do not represent all details of scene into human's eye. Saturation and underexposure are common problems in back-light image. Retinex algorithm, derived from Land's theory on human visual perception is known to be effective in enhancing the contrast. However, its weaknesses are long processing time and low contrast of bright area in back-light scene because of compensating the details of dark area. In this paper, K-Retinex algorithm is proposed to reduce the processing time and enhance the contrast in both dark and bright area. To show the superiority of proposed algorithm, we compare the processing time, local standard deviation and contrast per pixel of each area above.
Keywords
Back-Light Compensation; Image Enhancement; Contrast Enhancement; Retinex Algorithm; Image Processing;
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  • Reference
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