Edge Attention Network for Image Deblurring and Super-Resolution

Jong Wook Han; Jun Ho Choi; Jun Hyuk Kim; Jong Seok Lee

doi:10.1109/SMC52423.2021.9658863

Edge Attention Network for Image Deblurring and Super-Resolution

Jong Wook Han
, Jun Ho Choi
, Jun Hyuk Kim
, Jong Seok Lee

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

1 Citation (Scopus)

Abstract

While deep learning-based single image super-resolution has progressed significantly, super-resolution of images containing blurring artifacts is still challenging. This paper proposes a unified model that can simultaneously perform deblurring and super-resolution for a given image, which is called Edge Attention Network (EAN). Our model employs an attention mechanism using the edge information in order to enhance the sharpness of the super-resolved output image. Experimental results demonstrate that our method outperforms existing super-resolution methods and separate application of deblurring and super-resolution.

Original language	English
Title of host publication	2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	2401-2406
Number of pages	6
ISBN (Electronic)	9781665442077
DOIs	https://doi.org/10.1109/SMC52423.2021.9658863
Publication status	Published - 2021
Event	2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021 - Melbourne, Australia Duration: 2021 Oct 17 → 2021 Oct 20

Publication series

Name	Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)	1062-922X

Conference

Conference	2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021
Country/Territory	Australia
City	Melbourne
Period	21/10/17 → 21/10/20

Bibliographical note

Publisher Copyright:
© 2021 IEEE.

All Science Journal Classification (ASJC) codes

Electrical and Electronic Engineering
Control and Systems Engineering
Human-Computer Interaction

Access to Document

10.1109/SMC52423.2021.9658863

Cite this

Han, J. W., Choi, J. H., Kim, J. H., & Lee, J. S. (2021). Edge Attention Network for Image Deblurring and Super-Resolution. In 2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021 (pp. 2401-2406). (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SMC52423.2021.9658863

@inproceedings{4083c85efce64dd8b8bc0aaa44069a1a,

title = "Edge Attention Network for Image Deblurring and Super-Resolution",

abstract = "While deep learning-based single image super-resolution has progressed significantly, super-resolution of images containing blurring artifacts is still challenging. This paper proposes a unified model that can simultaneously perform deblurring and super-resolution for a given image, which is called Edge Attention Network (EAN). Our model employs an attention mechanism using the edge information in order to enhance the sharpness of the super-resolved output image. Experimental results demonstrate that our method outperforms existing super-resolution methods and separate application of deblurring and super-resolution.",

author = "Han, \{Jong Wook\} and Choi, \{Jun Ho\} and Kim, \{Jun Hyuk\} and Lee, \{Jong Seok\}",

note = "Publisher Copyright: {\textcopyright} 2021 IEEE.; 2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021 ; Conference date: 17-10-2021 Through 20-10-2021",

year = "2021",

doi = "10.1109/SMC52423.2021.9658863",

language = "English",

series = "Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

pages = "2401--2406",

booktitle = "2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021",

address = "United States",

}

Han, JW, Choi, JH, Kim, JH & Lee, JS 2021, Edge Attention Network for Image Deblurring and Super-Resolution. in 2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021. Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, Institute of Electrical and Electronics Engineers Inc., pp. 2401-2406, 2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021, Melbourne, Australia, 21/10/17. https://doi.org/10.1109/SMC52423.2021.9658863

Edge Attention Network for Image Deblurring and Super-Resolution. / Han, Jong Wook; Choi, Jun Ho; Kim, Jun Hyuk et al.
2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021. Institute of Electrical and Electronics Engineers Inc., 2021. p. 2401-2406 (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

TY - GEN

T1 - Edge Attention Network for Image Deblurring and Super-Resolution

AU - Han, Jong Wook

AU - Choi, Jun Ho

AU - Kim, Jun Hyuk

AU - Lee, Jong Seok

PY - 2021

Y1 - 2021

N2 - While deep learning-based single image super-resolution has progressed significantly, super-resolution of images containing blurring artifacts is still challenging. This paper proposes a unified model that can simultaneously perform deblurring and super-resolution for a given image, which is called Edge Attention Network (EAN). Our model employs an attention mechanism using the edge information in order to enhance the sharpness of the super-resolved output image. Experimental results demonstrate that our method outperforms existing super-resolution methods and separate application of deblurring and super-resolution.

AB - While deep learning-based single image super-resolution has progressed significantly, super-resolution of images containing blurring artifacts is still challenging. This paper proposes a unified model that can simultaneously perform deblurring and super-resolution for a given image, which is called Edge Attention Network (EAN). Our model employs an attention mechanism using the edge information in order to enhance the sharpness of the super-resolved output image. Experimental results demonstrate that our method outperforms existing super-resolution methods and separate application of deblurring and super-resolution.

UR - https://www.scopus.com/pages/publications/85124322945

UR - https://www.scopus.com/pages/publications/85124322945#tab=citedBy

U2 - 10.1109/SMC52423.2021.9658863

DO - 10.1109/SMC52423.2021.9658863

M3 - Conference contribution

AN - SCOPUS:85124322945

T3 - Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics

SP - 2401

EP - 2406

BT - 2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021

Y2 - 17 October 2021 through 20 October 2021

ER -

Han JW, Choi JH, Kim JH, Lee JS. Edge Attention Network for Image Deblurring and Super-Resolution. In 2021 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2021. Institute of Electrical and Electronics Engineers Inc. 2021. p. 2401-2406. (Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics). doi: 10.1109/SMC52423.2021.9658863

Edge Attention Network for Image Deblurring and Super-Resolution

Abstract

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All Science Journal Classification (ASJC) codes

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