Multi-scale convolutional attention network for lightweight image super-resolution

Author:

Xie Feng,Lu PeiORCID,Liu Xiaoyong

Funder

Natural Science Foundation of Guangxi Zhuang Autonomous Region

National Natural Science Foundation of China

Guilin University of Technology

National Key Research and Development Program of China

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Media Technology,Signal Processing

Reference45 articles.

1. Remote sensing image super-resolution via mixed high-order attention network;Zhang;IEEE Trans. Geosci. Remote Sens.,2020

2. Simultaneous super-resolution and cross-modality synthesis of 3D medical images using weakly-supervised joint convolutional sparse coding;Huang,2017

3. Video super-resolution with convolutional neural networks;Kappeler;IEEE Trans. Comput. Imaging,2016

4. Image super-resolution using deep convolutional networks;Dong;IEEE Trans. Pattern Anal. Mach. Intell.,2016

5. Residual scale attention network for arbitrary scale image super-resolution;Fu;Neurocomputing,2021

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