Brighten-and-Colorize: A Decoupled Network for Customized Low-Light Image Enhancement

Author:

Wang Chenxi1ORCID,Jin Zhi2ORCID

Affiliation:

1. Sun Yat-sen University, Guangzhou, China

2. Sun Yat-sen University, Guangdong Provincial Key Laboratory of Fire Science and Technology, & Guangdong Provincial Key Laboratory of Robot Digital Intelligent Manufacturing Technology, Guangzhou, China

Funder

National Natural Science Foundation of China

National Natural Science Foundation of China the Sino-German Center

Publisher

ACM

Reference57 articles.

1. Vladimir Bychkovsky , Sylvain Paris , Eric Chan , and Frédo Durand . 2011 . Learning photographic global tonal adjustment with a database of input/output image pairs . In IEEE Conf. Comput. Vis. Pattern Recog. IEEE, 97--104 . Vladimir Bychkovsky, Sylvain Paris, Eric Chan, and Frédo Durand. 2011. Learning photographic global tonal adjustment with a database of input/output image pairs. In IEEE Conf. Comput. Vis. Pattern Recog. IEEE, 97--104.

2. Deep bilateral learning for real-time image enhancement

3. Sergio Guadarrama , Ryan Dahl , David Bieber , Mohammad Norouzi , Jonathon Shlens , and Kevin Murphy . 2017 . Pixcolor: Pixel recursive colorization. arXiv preprint arXiv:1705.07208 (2017). Sergio Guadarrama, Ryan Dahl, David Bieber, Mohammad Norouzi, Jonathon Shlens, and Kevin Murphy. 2017. Pixcolor: Pixel recursive colorization. arXiv preprint arXiv:1705.07208 (2017).

4. Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement

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