吉林大学学报（信息科学版）2023，Vol.41Issue(5)：908-913,6.
基于多尺度残差的数字图像超分辨率重建算法
Reconstruction Algorithm of Digital Image Super Resolution Based on Multi-Scale Residues
摘要
Abstract
At present,due to environmental interference in the process of digital image acquisition and transmission,low-pixel images will appear,resulting in poor image reconstruction effect.For this reason,a digital image super-resolution reconstruction algorithm based on multi-scale residual is proposed.Use bilateral filtering algorithm to complete the dehazing processing of digital images.The brightness feature information and color information of digital images are classfied,and the distance threshold denoising method is used to denoise.To set convolution kernels of multiple sizes.In the process of image feature extraction,digital image features are obtained,and back-projection operations are performed on them.Based on the residual learning idea,the features extracted by the up-sampling and down-sampling processes are connected to realize digital image super-resolution reconstruction.The experimental results show that the proposed algorithm has high structural similarity,high PSNR(Peak Signal-to-Noise Ratio)and good reconstruction effect for image reconstruction.关键词
多尺度残差/双边滤波算法/距离阈值去噪方法/残差学习/图像超分辨率重建Key words
multid-scale residues/bilateral filtering algorithms/distance threshold removal method/residual learning/image super-resolution reconstruction分类
信息技术与安全科学引用本文复制引用
于玉,赵月..基于多尺度残差的数字图像超分辨率重建算法[J].吉林大学学报（信息科学版）,2023,41(5):908-913,6.基金项目
国家自然科学基金资助项目(62771315) （62771315）
