A lightweight hash-directed global perception and self-calibrated multiscale fusion network for image super-resolution-Reference-Cited by-同舟云学术

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A lightweight hash-directed global perception and self-calibrated multiscale fusion network for image super-resolution

Published:2024-11 Issue: Volume:151 Page:105255
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Cui Zhisheng,Yao Yibing,Li Shilong,Zhao Yongcan,Xin Ming

Funder

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference56 articles.

1. Improving resolution by image registration;Irani;CVGIP: Graph. Models Image Proc.,1991

2. Image super-resolution using very deep residual channel attention networks;Zhang,2018

3. Swinir: Image restoration using swin transformer;Liang,2021

4. Omni aggregation networks for lightweight image super-resolution;Wang,2023

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