A joint image super‐resolution network for multiple degradations removal via complementary transformer and convolutional neural network

A joint image super‐resolution network for multiple degradations removal via complementary transformer and convolutional neural network

Abstract While recent years have witnessed the unprecedented success of deep convolutional neural networks (CNNs) and vision transformers in single‐image super‐resolution (SISR), the degradation assumptions are simple and usually bicubic downsampling. Thus, their performances will drop dramatically...

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Bibliographic Details
Main Authors: Guoping Li, Zhenting Zhou, Guozhong Wang
Format: Article
Language:English
Published: Wiley 2024-04-01
Series:IET Image Processing
Subjects:
image enhancement
image resolution
image restoration
Online Access:https://doi.org/10.1049/ipr2.13030

Internet

https://doi.org/10.1049/ipr2.13030

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