Multi-level Feature Interaction and Efficient Non-Local Information Enhanced Channel Attention for image dehazing-Reference-Cited by-同舟云学术

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Multi-level Feature Interaction and Efficient Non-Local Information Enhanced Channel Attention for image dehazing

Published:2023-06 Issue: Volume:163 Page:10-27
ISSN:0893-6080
Container-title:Neural Networks
language:en
Short-container-title:Neural Networks

Author:

Sun Hang^ORCID,Li Bohui,Dan Zhiping^ORCID,Hu Wei,Du Bo,Yang Wen^ORCID,Wan Jun

Funder

Natural Science Foundation of Hubei Province

Major Technology Innovation of Hubei Province

Science and Technology Program of Hubei Province

National Natural Science Foundation of China

Publisher

Elsevier BV

Subject

Artificial Intelligence,Cognitive Neuroscience

Reference67 articles.

1. Dense-haze: A benchmark for image dehazing with dense-haze and haze-free images;Ancuti,2019

2. NTIRE 2019 image dehazing challenge report;Ancuti,2019

3. NTIRE 2021 nonhomogeneous dehazing challenge report;Ancuti,2021

4. Self-guided image dehazing using progressive feature fusion;Bai;IEEE Transactions on Image Processing,2022

5. Non-local image dehazing;Berman,2016

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