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Multiple weather degraded image restoration based on multi-component decomposition

delete2025-10-08
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PRE
AI
林晓 (Xiao Lin)
Y
Yilin Chen
D
Duojiu Xu
Q
Qizhe Yang
Y
Yan Li
W
Wei Huang
李平 cover
李平 (Ping Li)
DOI:10.1016/j.patcog.2025.112561delete
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Abstract

Abstract

En 中文
• Three-component prior decomposes images into background, primary mask, and residual. • Transformer trunk and attention branches disentangle overlapping weather degradations. • Unified MCD-Net restores single-weather and multi-weather images with outstanding performance.

Journal

Pattern Recognition cover
Pattern Recognition
IF:
7.6
Papers:
1.3W
Citations:
4.5W

Organization

S
Shanghai Normal University
Scholars:
7.4K
Papers: 5.0K
Citations: 8.0K
T
The Hong Kong Polytechnic University
Scholars:
5.1K
Papers: 3.0K
Citations: 17
U
university of shanghai for science and technology
Scholars:
5.5K
Papers: 2.2K
Citations: 4
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