DANS: Deep Attention Network for Single Image Super-Resolution-Reference-Cited by-同舟云学术

DANS: Deep Attention Network for Single Image Super-Resolution

Published:2023 Issue: Volume:11 Page:84379-84397
ISSN:2169-3536
Container-title:IEEE Access
language:
Short-container-title:IEEE Access

Author:

Talreja Jagrati¹^ORCID,Aramvith Supavadee²^ORCID,Onoye Takao³^ORCID

Affiliation:

1. Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand

2. Multimedia Data Analytics and Processing Unit, Department of Electrical Engineering, Faculty of Engineering, Chulalongkorn University, Bangkok, Thailand

3. Graduate School of Information Science and Technology, Osaka University, Suita, Japan

Funder

Thailand Science research and Innovation Fund Chulalongkorn University

The NSRF via the Program Management Unit for Human Resources & Institutional Development, Research and Innovation

Thailand Science Research and Innovation Fund Chulalongkorn University

Chulalongkorn University

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Link

http://xplorestaging.ieee.org/ielx7/6287639/10005208/10210219.pdf?arnumber=10210219

Reference84 articles.

1. Deeply improved sparse coding for image super-resolution;wang;Proc IEEE Int Conf Comput Vis,2015

2. Deep Learning for Image Super-Resolution: A Survey

3. Residual non-local attention networks for image restoration;zhang;arXiv 1903 10082,2019

4. Fusion Objective Function on Progressive Super-Resolution Network

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