A retina-inspired neural model for single image haze removal-Reference-Cited by-同舟云学术

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A retina-inspired neural model for single image haze removal

Published:2023-12-22 Issue: Volume:32 Page:170-175
ISSN:
Container-title:2023 6th International Conference on Algorithms, Computing and Artificial Intelligence
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Author:

Zhang Yun¹^ORCID,Sun Qian¹^ORCID,Du Keyu¹^ORCID,Qu Hong¹^ORCID

Affiliation:

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

Funder

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3639631.3639660

Reference31 articles.

1. Cosmin Ancuti, Codruta O Ancuti, and Christophe De Vleeschouwer. 2016. D-hazy: A dataset to evaluate quantitatively dehazing algorithms. In 2016 IEEE international conference on image processing (ICIP). IEEE, 2226–2230.

2. Mark Bear Barry Connors and Michael A Paradiso. 2020. Neuroscience: exploring the brain enhanced edition: exploring the brain. Jones & Bartlett Learning.

3. Non-local Image Dehazing

4. Bolun Cai, Xiangmin Xu, Kui Jia, Chunmei Qing, and Dacheng Tao. 2016. Dehazenet: An end-to-end system for single image haze removal. IEEE transactions on image processing 25, 11 (2016), 5187–5198.

5. Akshay Dudhane, Harshjeet Singh Aulakh, and Subrahmanyam Murala. 2019. Ri-gan: An end-to-end network for single image haze removal. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition workshops. 0–0.

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