Structure-Aware Deep Networks and Pixel-Level Generative Adversarial Training for Single Image Super-Resolution-Reference-Cited by-同舟云学术

Structure-Aware Deep Networks and Pixel-Level Generative Adversarial Training for Single Image Super-Resolution

Published:2023 Issue: Volume:72 Page:1-14
ISSN:0018-9456
Container-title:IEEE Transactions on Instrumentation and Measurement
language:
Short-container-title:IEEE Trans. Instrum. Meas.

Author:

Shi Wuzhen¹^ORCID,Tao Fei¹^ORCID,Wen Yang¹^ORCID

Affiliation:

1. Shenzhen Key Laboratory of Digital Creative Technology, Guangdong Province Engineering Laboratory for Digital Creative Technology, Guangdong-Hong Kong Joint Laboratory for Big Data Imaging and Communication, College of Electronics and Information Engineering, Shenzhen University, Shenzhen, China

Funder

National Science Foundation of China

Guangdong Key Technologies R&D Program

Basic and Applied Basic Research Foundation of Guangdong Province

Stable Support Plan for Shenzhen Higher Education Institutions

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Instrumentation

Link

http://xplorestaging.ieee.org/ielx7/19/10012124/10049122.pdf?arnumber=10049122

Reference55 articles.

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5. On single image scale-up using sparse-representations;zeyde;Proc Int Conf Curves Surf,2010

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