@inproceedings{bbe2faab42b64a838ec30ff1ebb60b99,
title = "Single Low-Light Image Enhancement by Fusing Multiple Sources",
abstract = "The visual quality of photographs can be seriously affected by various low-light conditions. The image enhancement methods based on fusion achieve satisfying results. However, this poses challenges to the situation that there are no fusion sources and only a single low-light image is at hand. In this paper, we propose a single low-light enhancement method by fusing multiple sources, including the original image and its intermediate enhancements generated by a simplified Retinex model. We combine these sources at a mid-level image representation based on a patch-based decomposition model. Compared with other state-of-the-art methods, visual and quantitative results show that our method effectively improves visual effects in terms of lightness, color harmony and vividness.",
keywords = "Fusion, Image Enhancement, Low-light Image, Patch Decomposition",
author = "Zhuang Feng and Zhiyuan Zhou and Richang Hong and Shijie Hao and Yong Ge and Meng Wang",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE.; 4th IEEE International Conference on Multimedia Big Data, BigMM 2018 ; Conference date: 13-09-2018 Through 16-09-2018",
year = "2018",
month = oct,
day = "18",
doi = "10.1109/BigMM.2018.8499081",
language = "English (US)",
series = "2018 IEEE 4th International Conference on Multimedia Big Data, BigMM 2018",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
booktitle = "2018 IEEE 4th International Conference on Multimedia Big Data, BigMM 2018",
}