Integrating Semantic Segmentation and Retinex Model for Low-Light Image Enhancement-Reference-Cited by-同舟云学术

Integrating Semantic Segmentation and Retinex Model for Low-Light Image Enhancement

Published:2020-10-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 28th ACM International Conference on Multimedia
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Author:

Fan Minhao¹,Wang Wenjing¹,Yang Wenhan²,Liu Jiaying¹

Affiliation:

1. Peking University, Beijing, China

2. City University of Hong Kong, Hong Kong, China

Funder

National Natural Science Foundation of China

National Key R&D Program of China under Grand

Beijing Natural Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3394171.3413757

Reference51 articles.

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2. A Histogram Modification Framework and Its Application for Image Contrast Enhancement

3. Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images

4. J. Cai W. Zuo and L. Zhang. 2019. Extreme Channel Prior Embedded Network for Dynamic Scene Deblurring. arXiv Vol. abs/1903.00763 (2019). arxiv: 1903.00763 J. Cai W. Zuo and L. Zhang. 2019. Extreme Channel Prior Embedded Network for Dynamic Scene Deblurring. arXiv Vol. abs/1903.00763 (2019). arxiv: 1903.00763

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