Abstract
In this paper, we propose a novel Retinex image enhancement approach by adopting two important prior named brightness channel prior (BCP) and change of detail (CoD) prior. We first derive a rough illumination map estimation method via BCP and Retinex model. Then, we present a combination refining method which involves the guided filter and a new total variation (TV) smoothing operator to eliminate the block effect in the rough illumination map while maintain the local smoothness property. In addition, we propose a novel sharping algorithm rely on CoD prior to improve the visual effect of the degraded image. Experimental results verify that our approach outperforms current approaches in terms of effectiveness, efficiency and universality.
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Zhenfei Gu received the B.S. degree in Electronic Information Engineering and the M.S. degree in Electronic and Communication Engineering from Nanjing University of Posts and Telecommunication, Nanjing, China, in 2006 and 2012, respectively. He is currently working toward the Ph.D. degree in the School of Internet of Things, Nanjing University of Posts and Telecommunication. His research interests vision and image processing.
Mingye Ju received the M.S. degree from the School of Electronic Engineering, Tianjin University of Technology and Education, Tianjin, in 2013. He is currently working toward the Ph.D. degree in the School of Internet of Things, Nanjing University of Posts and Telecommunication in Nanjing. His research interests include image dehazing and image enhancement.
Dengyin Zhang received the B.S. degree, M.S. degree, and Ph.D. degree in Nanjing University of Posts and Telecommunication, Nanjing, China, in 1986, 1989, and 2004, respectively. He is currently a Professor of the School of Internet of Things, Nanjing University of Posts and Telecommunication, Nanjing, China. He was in Digital Media Lab at Umea University in Sweden as a visiting scholar from 2007 to 2008. His research interests include signal and information processing, networking technique, and information security.
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Gu, Z., Ju, M. & Zhang, D. A novel Retinex image enhancement approach via brightness channel prior and change of detail prior. Pattern Recognit. Image Anal. 27, 234–242 (2017). https://doi.org/10.1134/S1054661817020055
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DOI: https://doi.org/10.1134/S1054661817020055