中南民族大学学报（自然科学版）2024，Vol.43Issue(4)：504-512,9.DOI:10.20056/j.cnki.ZNMDZK.20240410
一种基于注意力与反注意力机制的视频超分辨率重建模型研究
Research of a video super-resolution reconstruction model based on attention and reverseattention mechanism
摘要
Abstract
Aiming at the problems of noise amplification and feature loss in the process of video super-resolution reconstruction,on the basis of BasicVSR++model,a propagation model based on attention and reverse attention mechanism is proposed to optimize the video super-resolution reconstruction.The model decomposes the original features into propagated features and redundant features.The propagation features spread the information in the propagation network,while the redundancy features are extracted in depth at the residual network,and finally,the PixelShuffle network fuses and reconstructs the acquired two parts of the features to achieve better super-resolution reconstruction results.In the published dataset REDS,PNSR(Peak Signal-to-Noise Ratio)reaches 32.48 dB,the performance of video super-resolution reconstruction is improved.关键词
视频超分辨重建/注意力与反注意力机制/传播网络Key words
video super-resolution reconstruction/attention and reverse attention mechanism/propagation network分类
信息技术与安全科学引用本文复制引用
谢思宇,周斌,胡波..一种基于注意力与反注意力机制的视频超分辨率重建模型研究[J].中南民族大学学报（自然科学版）,2024,43(4):504-512,9.基金项目
湖北省技术创新专项基金资助项目(2019ADC071) （2019ADC071）
中央高校基本科研业务费专项资金资助项目(CZY23006) （CZY23006）
