Design and Implementation of Single Image Rain Removal System Based on Deep Learning
Zelan Yuan, Yao Zhao, Yuyan Wang, Xinyu Zuo · 2024
Image enhancement is one of the research hotspots in the field of computer vision, and common image enhancement problems include denoising, rain removal, fog removal, and so on. The images collected during rainy weather may have issues such as blurred background and loss of details. This article focuses on the design and implementation of an image rain removal system. Compared to video based rain removal, single image rain removal faces difficulties due to the lack of richer reference information in terms of time and space. At the same time, the image rain removal model faces difficulties in understanding and applying the model in practical applications, and lacks an application platform that can be directly used. Therefore, this article studies existing representative deep learning based image rain removal methods and designs a single image rain removal system based on relevant algorithms.