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Research and Implementation of Image Rain Removal Based on Deep Learning Cover

Research and Implementation of Image Rain Removal Based on Deep Learning

International Journal of Advanced Network, Monitoring and Controls
Volume 7 (2022): Issue 3 (January 2022)
By: Dong Wang and  Zhongsheng Wang  
Open Access
|May 2023

Figures & Tables

Figure 1.

Example of Frequency Decomposition
Example of Frequency Decomposition

Figure 2.

Frequency Decomposition Module
Frequency Decomposition Module

Figure 3.

The network structure of the generator
The network structure of the generator

Figure 4.

Visual comparison of the rain effect on the synthetic dataset Rain100H
Visual comparison of the rain effect on the synthetic dataset Rain100H

Figure 5.

(a) Real rain map (b) JORDER (c) RESCAN (d) This paper method
(a) Real rain map (b) JORDER (c) RESCAN (d) This paper method

Comparison of experimental results on synthetic datasets

DatasetsGMMJORDERRESCANOurs
PSNR25.972526.401228.786329.1035
SSIM0.91810.92460.93550.9661
DOI: https://doi.org/10.2478/ijanmc-2022-0024 | Journal eISSN: 2470-8038
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Language: English
Page range: 25 - 32
Published on: May 24, 2023
Published by: Xi’an Technological University
In partnership with: Paradigm Publishing Services
Publication frequency: 4 issues per year
Keywords:
Deep Learning,
Generative Confrontation,
High and Low Frequency,
Attention Mechanism,
Background Texture
Related subjects:
Computer sciences,
Computer sciences, other

© 2023 Dong Wang, Zhongsheng Wang, published by Xi’an Technological University
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.

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