Improved wavelet prediction superresolution reconstruction based on U‐Net

Improved wavelet prediction superresolution reconstruction based on U‐Net

Abstract Deep learning can be used to achieve single‐image superresolution (SR) reconstruction. To address problems encountered during this process, such as the number of network parameters, high training requirements on equipment performance, and inability to downsample certain SR images accurately...

Full description

Bibliographic Details
Main Authors: Jianfang Cao, Zeyu Chen, Hongyan Cui, Xiaofei Ji, Xianhui Wang, Yunchuan Liang, Yun Tian
Format: Article
Language:English
Published: Wiley 2023-10-01
Series:IET Image Processing
Subjects:
channel attention
convolutional neural network
deep learning
single‐image superresolution
wavelet transform
Online Access:https://doi.org/10.1049/ipr2.12878

Internet

https://doi.org/10.1049/ipr2.12878

Similar Items