Single Image Desnow Based on Vision Transformer and Conditional Generative Adversarial Network for Internet of Vehicles  

作　　者：Bingcai Wei Di Wang Zhuang Wang Liye Zhang 

机构地区：[1]College of Computer Science and Technology,Shandong University of Technology,Zibo,255049,China

出　　处：《Computer Modeling in Engineering & Sciences》2023年第11期1975-1988,共14页工程与科学中的计算机建模（英文）

基　　金：supported by School of Computer Science and Technology,Shandong University of Technology.This paper is supported by Shandong Provincial Natural Science Foundation,China(Grant Number ZR2019BF022);National Natural Science Foundation of China(Grant Number 62001272).

摘　　要：With the increasing popularity of artificial intelligence applications,machine learning is also playing an increasingly important role in the Internet of Things(IoT)and the Internet of Vehicles(IoV).As an essential part of the IoV,smart transportation relies heavily on information obtained from images.However,inclement weather,such as snowy weather,negatively impacts the process and can hinder the regular operation of imaging equipment and the acquisition of conventional image information.Not only that,but the snow also makes intelligent transportation systems make the wrong judgment of road conditions and the entire system of the Internet of Vehicles adverse.This paper describes the single image snowremoval task and the use of a vision transformer to generate adversarial networks.The residual structure is used in the algorithm,and the Transformer structure is used in the network structure of the generator in the generative adversarial networks,which improves the accuracy of the snow removal task.Moreover,the vision transformer has good scalability and versatility for larger models and has a more vital fitting ability than the previously popular convolutional neural networks.The Snow100K dataset is used for training,testing and comparison,and the peak signal-to-noise ratio and structural similarity are used as evaluation indicators.The experimental results show that the improved snow removal algorithm performs well and can obtain high-quality snow removal images.

关 键 词：Artificial intelligence Internet of Things vision transformer deep learning image desnow 

分 类 号：TP391.41[自动化与计算机技术—计算机应用技术]