short-paper

Edge-preserving single image super-resolution

Authors:

Jianzhuang Liu,

Xiaoou TangAuthors Info & Claims

MM '11: Proceedings of the 19th ACM international conference on Multimedia

Pages 1037 - 1040

https://doi.org/10.1145/2072298.2071932

Published: 28 November 2011 Publication History

Abstract

This paper proposes a novel approach to single image super-resolution. First, an image up-sampling scheme is proposed which takes the advantages of both bilateral filtering and mean shift image segmentation. Then we use a shock filter to enhance strong edges in the initial up-sampling result and obtain an intermediate high-resolution image. Finally, we enforce a reconstruction constraint on the high-resolution image so that fine details can be inferred by back projection. Since strong edges in the intermediate result are enhanced, ringing artifacts can be suppressed in the back projection step. We compare our algorithm with several state-of-the-art image super-resolution algorithms. Qualitative and quantitative experimental results demonstrate that our approach performs the best.

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Cited By

Matsuo Y(2024)Super-Resolution with Registration of Multiple Resolution Components Using Coding Parameters2024 9th International Conference on Frontiers of Signal Processing (ICFSP)10.1109/ICFSP62546.2024.10785286(73-77)Online publication date: 12-Sep-2024
https://doi.org/10.1109/ICFSP62546.2024.10785286
Sun PXu JDong SChen Y(2023)Fine Edge and Texture Prior Guided Super Resolution Reconstruction NetworkBig Data10.1007/978-981-99-8979-9_8(99-111)Online publication date: 15-Dec-2023
https://doi.org/10.1007/978-981-99-8979-9_8
He DZhong YShi QLiu XZhang L(2022)Generating continuous fine-scale land cover mapping by edge-guided maximum a posteriori based spatiotemporal sub-pixel mappingScience of Remote Sensing10.1016/j.srs.2022.1000415(100041)Online publication date: Jun-2022
https://doi.org/10.1016/j.srs.2022.100041
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Index Terms

Edge-preserving single image super-resolution
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
  2. Computer graphics
    1. Image manipulation

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Information

Published In

cover image ACM Conferences

MM '11: Proceedings of the 19th ACM international conference on Multimedia

November 2011

944 pages

ISBN:9781450306164

DOI:10.1145/2072298

General Chairs:
K. Selçuk Candan
Arizona State University, USA
,
Sethuraman Panchanathan
Arizona State University, USA
,
Balakrishnan Prabhakaran
University of Texas at Dallas, USA
,
Program Chairs:
Hari Sundaram
Arizona State University, USA
,
Wu-Chi Feng
Portland State University, USA
,
Nicu Sebe
University of Trento, Italy

Copyright © 2011 ACM.

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SIGMM: ACM Special Interest Group on Multimedia

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 28 November 2011

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MM '11

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SIGMM

MM '11: ACM Multimedia Conference

November 28 - December 1, 2011

Arizona, Scottsdale, USA

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Overall Acceptance Rate 2,145 of 8,556 submissions, 25%

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Cited By

Matsuo Y(2024)Super-Resolution with Registration of Multiple Resolution Components Using Coding Parameters2024 9th International Conference on Frontiers of Signal Processing (ICFSP)10.1109/ICFSP62546.2024.10785286(73-77)Online publication date: 12-Sep-2024
https://doi.org/10.1109/ICFSP62546.2024.10785286
Sun PXu JDong SChen Y(2023)Fine Edge and Texture Prior Guided Super Resolution Reconstruction NetworkBig Data10.1007/978-981-99-8979-9_8(99-111)Online publication date: 15-Dec-2023
https://doi.org/10.1007/978-981-99-8979-9_8
He DZhong YShi QLiu XZhang L(2022)Generating continuous fine-scale land cover mapping by edge-guided maximum a posteriori based spatiotemporal sub-pixel mappingScience of Remote Sensing10.1016/j.srs.2022.1000415(100041)Online publication date: Jun-2022
https://doi.org/10.1016/j.srs.2022.100041
Markin E(2021)IMAGE PREPROCESSING METHODS IN PERSONAL IDENTIFICATION SYSTEMSXXI Century: Resumes of the Past and Challenges of the Present plus10.46548/21vek-2021-1056-001210:56Online publication date: 22-Dec-2021
https://doi.org/10.46548/21vek-2021-1056-0012
Wang YDeng LZhang TWu XShen HZhuang YSmith JYang YCesar PMetze FPrabhakaran B(2021)SSconvProceedings of the 29th ACM International Conference on Multimedia10.1145/3474085.3475600(4472-4480)Online publication date: 17-Oct-2021
https://dl.acm.org/doi/10.1145/3474085.3475600
Jin ZDeng LZhang TJin XShen HZhuang YSmith JYang YCesar PMetze FPrabhakaran B(2021)BAMProceedings of the 29th ACM International Conference on Multimedia10.1145/3474085.3475571(4315-4323)Online publication date: 17-Oct-2021
https://dl.acm.org/doi/10.1145/3474085.3475571
Fang FLi JYuan YZeng TZhang G(2021)Multilevel Edge Features Guided Network for Image DenoisingIEEE Transactions on Neural Networks and Learning Systems10.1109/TNNLS.2020.301632132:9(3956-3970)Online publication date: Sep-2021
https://doi.org/10.1109/TNNLS.2020.3016321
Du XLiu CYang X(2021)Region Attention Network For Single Image Super-resolution2021 International Joint Conference on Neural Networks (IJCNN)10.1109/IJCNN52387.2021.9533882(1-6)Online publication date: 2021
https://doi.org/10.1109/IJCNN52387.2021.9533882
Wang ZLu YShi Q(2021)Edge Guided Attention Based Densely Connected Network for Single Image Super-ResolutionNeural Information Processing10.1007/978-3-030-92238-2_52(632-643)Online publication date: 5-Dec-2021
https://doi.org/10.1007/978-3-030-92238-2_52
Zeng JQiu XLu QZhu HShi S(2021)Image Enhancement Effects on the Forensic Facial Recognition SystemAdvances in Intelligent Automation and Soft Computing10.1007/978-3-030-81007-8_89(782-789)Online publication date: 25-Jul-2021
https://doi.org/10.1007/978-3-030-81007-8_89
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