@inproceedings{8d3a75f4d89c4774a1b316bbe96da6f0,
title = "Low Light Image Enhancement for Color Images Combined with Sky Region Segmentation",
abstract = "To solve the problems of low contrast and blurred details in low light images, a brand-new low light image enhancement algorithm combined with sky region segmentation is proposed for color images in this paper. In the proposed algorithm, the image enhancement is processed in HSV space to achieve color consistency. An adaptive global enhancement method is adopted in brightness enhancement. In addition, a simple nonlinear transformation is applied on the saturation component combined with sky region segmentation. Experimental results verify the effectiveness of the proposed algorithm, and reveal the proposed algorithm could improve the brightness, the contrast and details of low light images, while maintaining the color consistency to make the images more in line with the visual effects of human eyes.",
keywords = "Sky segmentation, image enhancement, low light image",
author = "Chao Fang and Changfeng Lv and Fudong Cai and Huanyun Liu and Jinjun Wang and Minwei Shuai",
note = "Publisher Copyright: {\textcopyright} 2022 IEEE.; 2022 International Conference on Machine Learning and Knowledge Engineering, MLKE 2022 ; Conference date: 25-02-2022 Through 27-02-2022",
year = "2022",
doi = "10.1109/MLKE55170.2022.00039",
language = "英语",
series = "Proceedings - 2022 International Conference on Machine Learning and Knowledge Engineering, MLKE 2022",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "169--172",
booktitle = "Proceedings - 2022 International Conference on Machine Learning and Knowledge Engineering, MLKE 2022",
}