Paper
19 July 2024 Image rain removal based on multi-stage optimized residual network
Xiaowen Wang, Guanghai Zheng
Author Affiliations +
Proceedings Volume 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024); 1318126 (2024) https://doi.org/10.1117/12.3031240
Event: Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 2024, Beijing, China
Abstract
In this paper, a multistage rain removal optimization algorithm based on residual networks is proposed. The relationship between pixels and the intensity of corresponding background pixels is deduced from the physical process of the image, and the intrinsic features of rainy day images are utilized to form an architecture using a multilevel residual ring to construct a network model for function training, so as to achieve the purpose of rain removal. Through the deep extraction of feature information, combined with the combination of densely connected networks, the rain morphology in the image is captured separately through joint training, so as to obtain rain removal images with different visual effects. The algorithm proposed in this paper is experimentally compared with existing rain removal algorithms, and the subjective and objective evaluation indexes prove that the method proposed in this paper is superior to the existing rain removal methods, which proves that the method proposed in this paper improves the performance of rain removal and the practicality of the existing rain removal task.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xiaowen Wang and Guanghai Zheng "Image rain removal based on multi-stage optimized residual network", Proc. SPIE 13181, Third International Conference on Electronic Information Engineering, Big Data, and Computer Technology (EIBDCT 2024), 1318126 (19 July 2024); https://doi.org/10.1117/12.3031240
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KEYWORDS
Rain

Education and training

Image processing

Network architectures

Feature extraction

Image restoration

Ablation

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