TUSR-Net: Triple Unfolding Single Image Dehazing With Self-Regularization and Dual Feature to Pixel Attention-Reference-Cited by-同舟云学术

TUSR-Net: Triple Unfolding Single Image Dehazing With Self-Regularization and Dual Feature to Pixel Attention

Author:

Song Xibin¹^ORCID,Zhou Dingfu¹^ORCID,Li Wei²,Dai Yuchao³^ORCID,Shen Zhelun¹,Zhang Liangjun¹,Li Hongdong⁴^ORCID

Affiliation:

1. Robotics and Autonomous Driving Laboratory, Baidu Research, Beijing, China

2. China Electronics Standardization Institute, Beijing, China

3. School of Electronics and Information, Northwestern Polytechnical University, Xi'an, China

4. College of Engineering and Computer Science, The Australian National University, Canberra, ACT, Australia

Funder

Robotics and Autonomous Driving Laboratory, Baidu Research;

National Key Research and Development Program of China

Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Computer Graphics and Computer-Aided Design,Software

Link

Reference59 articles.

2. Ultra-high-definition image dehazing via multi-guided bilateral learning;Proc IEEE/CVF Conf Comput Vis Pattern Recognit (CVPR),2021

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