MS2Net: Multi-Scale and Multi-Stage Feature Fusion for Blurred Image Super-Resolution-Reference-Cited by-同舟云学术

MS2Net: Multi-Scale and Multi-Stage Feature Fusion for Blurred Image Super-Resolution

Published:2022-08 Issue:8 Volume:32 Page:5137-5150
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Niu Axi¹^ORCID,Zhu Yu¹^ORCID,Zhang Chaoning²,Sun Jinqiu³^ORCID,Wang Pei¹,Kweon In So²^ORCID,Zhang Yanning¹^ORCID

Affiliation:

1. School of Computer Science, Northwestern Polytechnical University, Xi’an, China

2. School of Electrical Engineering and the Robotics and Computer Vision Laboratory, Korea Advanced Institute of Science and Technology, Daejeon, Republic of Korea

3. School of Astronautics, Northwestern Polytechnical University, Xi’an, China

Funder

National Natural Science Foundation of China

Joint Funds of the National Natural Science Foundation of China

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/9849156/09718302.pdf?arnumber=9718302

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