Learning Non-Uniform-Sampling for Ultra-High-Definition Image Enhancement-Reference-Cited by-同舟云学术

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Learning Non-Uniform-Sampling for Ultra-High-Definition Image Enhancement

Published:2023-10-26 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 31st ACM International Conference on Multimedia
language:
Short-container-title:

Author:

Yu Wei¹^ORCID,Zhu Qi¹^ORCID,Zheng Naishan¹^ORCID,Huang Jie¹^ORCID,Zhou Man¹^ORCID,Zhao Feng¹^ORCID

Affiliation:

1. University of Science and Technology of China, Hefei, China

Funder

Anhui Provincial Natural Science Foundation

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3581783.3611836

Reference87 articles.

1. O-HAZE: A Dehazing Benchmark with Real Hazy and Haze-Free Outdoor Images

2. Diving deeper into underwater image enhancement: A survey

3. Non-local Image Dehazing

4. Vladimir Bychkovsky , Sylvain Paris , Eric Chan , and Frédo Durand . 2011 . Learning photographic global tonal adjustment with a database of input/output image pairs . In CVPR 2011. 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 CVPR 2011. IEEE, 97--104.

5. DehazeNet: An End-to-End System for Single Image Haze Removal

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