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Regularization based super-resolution image processing algorithm using edge-adaptive non-local means filter

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DaeOk Kim,

Hyeran ByunAuthors Info & Claims

ICUIMC '13: Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication

Article No.: 78, Pages 1 - 5

https://doi.org/10.1145/2448556.2448634

Published: 17 January 2013 Publication History

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Abstract

Super-Resolution (SR) image reconstruction is a technology to reconstruct multiple low-resolution images into one or multiple high-resolution images. As the use of digital camera is recently increasing, the advancement of super-resolution technology gets a great attention. In this study, we propose a regularization-based Super-Resolution algorithm that utilizes an Edge-adaptive Non-Local Means filter. We compare the result of image reconstruction through the algorithm that we proposed and that of image reconstruction through existing studies. As a result, we could verify that a better result would be obtained for regularization function when using an Edge-adaptive Non-Local Means filter rather than using a Non-Local Means filter. We could also obtain much higher PSNR(Peak Signal-to Noise Ratio) than using a Bilateral Total Variation(BTV) method.

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Cited By

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Dong ZJia JLi YLing Y(2024)Divide-Conquer-and-Merge: Memory- and Time-Efficient Holographic Displays2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)10.1109/VR58804.2024.00070(493-501)Online publication date: 16-Mar-2024
https://doi.org/10.1109/VR58804.2024.00070
Khattab MZeki AAlwan ABouallegue BMatter SAhmed A(2021)Regularized Multiframe Super-Resolution Image Reconstruction Using Linear and Nonlinear FiltersJournal of Electrical and Computer Engineering10.1155/2021/83099102021Online publication date: 18-Dec-2021
https://dl.acm.org/doi/10.1155/2021/8309910
Khattab MZeki AAlwan ABadawy A(2018)Regularization-based multi-frame super-resolution: A systematic reviewJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2018.11.010Online publication date: Nov-2018
https://doi.org/10.1016/j.jksuci.2018.11.010
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Index Terms

Regularization based super-resolution image processing algorithm using edge-adaptive non-local means filter
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
        Reconstruction

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ICUIMC '13: Proceedings of the 7th International Conference on Ubiquitous Information Management and Communication

January 2013

772 pages

ISBN:9781450319584

DOI:10.1145/2448556

Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Published: 17 January 2013

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ICUIMC '13: The 7th International Conference on Ubiquitous Information Management and Communication

January 17 - 19, 2013

Kota Kinabalu, Malaysia

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Dong ZJia JLi YLing Y(2024)Divide-Conquer-and-Merge: Memory- and Time-Efficient Holographic Displays2024 IEEE Conference Virtual Reality and 3D User Interfaces (VR)10.1109/VR58804.2024.00070(493-501)Online publication date: 16-Mar-2024
https://doi.org/10.1109/VR58804.2024.00070
Khattab MZeki AAlwan ABouallegue BMatter SAhmed A(2021)Regularized Multiframe Super-Resolution Image Reconstruction Using Linear and Nonlinear FiltersJournal of Electrical and Computer Engineering10.1155/2021/83099102021Online publication date: 18-Dec-2021
https://dl.acm.org/doi/10.1155/2021/8309910
Khattab MZeki AAlwan ABadawy A(2018)Regularization-based multi-frame super-resolution: A systematic reviewJournal of King Saud University - Computer and Information Sciences10.1016/j.jksuci.2018.11.010Online publication date: Nov-2018
https://doi.org/10.1016/j.jksuci.2018.11.010
Jacob Maiseli BAlly NGao H(2015)A noise-suppressing and edge-preserving multiframe super-resolution image reconstruction methodImage Communication10.1016/j.image.2015.03.00134:C(1-13)Online publication date: 1-May-2015
https://dl.acm.org/doi/10.1016/j.image.2015.03.001

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A local structure adaptive super-resolution reconstruction method based on BTV regularization

Single image super-resolution using regularization of non-local steering kernel regression

Edge-directed single image super-resolution via cross-resolution sharpening function learning

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