WaveletFormerNet: A Transformer-based wavelet network for real-world non-homogeneous and dense fog removal-Reference-Cited by-同舟云学术

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WaveletFormerNet: A Transformer-based wavelet network for real-world non-homogeneous and dense fog removal

Published:2024-06 Issue: Volume:146 Page:105014
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Zhang Shengli,Tao Zhiyong,Lin Sen

Funder

Department of Science and Technology of Liaoning Province

Department of Education of Liaoning Province

Publisher

Elsevier BV

Reference61 articles.

1. Boundary-constrained robust regularization for single image dehazing;Ali;Pattern Recogn.,2023

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

3. O-haze: a dehazing benchmark with real hazy and haze-free outdoor images;Ancuti,2018

4. Ntire 2020 challenge on nonhomogeneous dehazing;Ancuti,2020

5. I-haze: a dehazing benchmark with real hazy and haze-free indoor images;Ancuti,2018

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