A novel Retinex image enhancement approach via brightness channel prior and change of detail prior
- 作者: Gu Z.1,2, Ju M.1, Zhang D.1
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隶属关系:
- School of Internet of Things
- Nanjing College of Information Technology, JS-25
- 期: 卷 27, 编号 2 (2017)
- 页面: 234-242
- 栏目: Representation, Processing, Analysis, and Understanding of Images
- URL: https://journals.rcsi.science/1054-6618/article/view/195054
- DOI: https://doi.org/10.1134/S1054661817020055
- ID: 195054
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详细
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.
作者简介
Zhenfei Gu
School of Internet of Things; Nanjing College of Information Technology, JS-25
Email: zhangdy@njupt.edu.cn
中国, Nanjing, Jiangsu; Nanjing, Jiangsu
Mingye Ju
School of Internet of Things
Email: zhangdy@njupt.edu.cn
中国, Nanjing, Jiangsu
Dengyin Zhang
School of Internet of Things
编辑信件的主要联系方式.
Email: zhangdy@njupt.edu.cn
中国, Nanjing, Jiangsu
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