A novel Retinex image enhancement approach via brightness channel prior and change of detail prior
- Авторлар: Gu Z.1,2, Ju M.1, Zhang D.1
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Мекемелер:
- School of Internet of Things
- Nanjing College of Information Technology, JS-25
- Шығарылым: Том 27, № 2 (2017)
- Беттер: 234-242
- Бөлім: 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
Дәйексөз келтіру
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.
Авторлар туралы
Zhenfei Gu
School of Internet of Things; Nanjing College of Information Technology, JS-25
Email: zhangdy@njupt.edu.cn
ҚХР, Nanjing, Jiangsu; Nanjing, Jiangsu
Mingye Ju
School of Internet of Things
Email: zhangdy@njupt.edu.cn
ҚХР, Nanjing, Jiangsu
Dengyin Zhang
School of Internet of Things
Хат алмасуға жауапты Автор.
Email: zhangdy@njupt.edu.cn
ҚХР, Nanjing, Jiangsu
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