A novel Retinex image enhancement approach via brightness channel prior and change of detail prior
- Авторы: Gu Z.1,2, Ju M.1, Zhang D.1
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Учреждения:
- School of Internet of Things
- Nanjing College of Information Technology, JS-25
- Выпуск: Том 27, № 2 (2017)
- Страницы: 234-242
- Раздел: 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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Аннотация
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.
Об авторах
Zhenfei Gu
School of Internet of Things; Nanjing College of Information Technology, JS-25
Email: zhangdy@njupt.edu.cn
Китай, Nanjing, Jiangsu; Nanjing, Jiangsu
Mingye Ju
School of Internet of Things
Email: zhangdy@njupt.edu.cn
Китай, Nanjing, Jiangsu
Dengyin Zhang
School of Internet of Things
Автор, ответственный за переписку.
Email: zhangdy@njupt.edu.cn
Китай, Nanjing, Jiangsu
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