research-article

Image Restoration With Total Variation and Iterative Regularization Parameter Estimation

Authors:

V. B. Surya Prasath,

Dang N. H. Thanh,

Ngo X. CuongAuthors Info & Claims

SoICT '17: Proceedings of the 8th International Symposium on Information and Communication Technology

Pages 378 - 384

https://doi.org/10.1145/3155133.3155191

Published: 07 December 2017 Publication History

Abstract

Regularization techniques are widely used for solving ill-posed image processing problems and in particular for image noise removal. Total variation (TV) regularization is one of the foremost edge preserving methods for noise removal from images that can overcome the over-smoothing effects of the classical Tikhonov regularization. One of the important aspects in this approach is the involvement of the regularization parameter that needs to be set appropriately to obtain optimal restoration results. In this work, we utilize a fast split Bregman based implementation of the TV regularization for denoising along with an iterative parameter estimation from local image information. Experimental results on a variety noisy images indicate the promise of our TV regularization with iterative parameter estimation with local variance method, and comparison with related schemes show better edge preservation and robust noise removal.

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Cited By

Mahmoud MKang H(2023)GANMasker: A Two-Stage Generative Adversarial Network for High-Quality Face Mask RemovalSensors10.3390/s2316709423:16(7094)Online publication date: 10-Aug-2023
https://doi.org/10.3390/s23167094
Naufal Mas MAl Maki W(2023)Image Inpainting Using PatchGAN2023 3rd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA)10.1109/ICICyTA60173.2023.10428719(61-66)Online publication date: 13-Dec-2023
https://doi.org/10.1109/ICICyTA60173.2023.10428719
Haddadi YMansouri BKhodja F(2023)A novel bio-inspired optimization algorithm for medical image restoration using Enhanced Regularized Inverse FilteringResearch on Biomedical Engineering10.1007/s42600-023-00269-939:1(233-244)Online publication date: 20-Feb-2023
https://doi.org/10.1007/s42600-023-00269-9
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Index Terms

Image Restoration With Total Variation and Iterative Regularization Parameter Estimation
1. Computing methodologies
  1. Computer graphics
    1. Image manipulation
      1. Image processing

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Information

Published In

cover image ACM Other conferences

SoICT '17: Proceedings of the 8th International Symposium on Information and Communication Technology

December 2017

486 pages

ISBN:9781450353281

DOI:10.1145/3155133

General Chairs:
Huynh Quyet Thang
HUST, Vietnam
,
Zhenjiang Hu
NII, Japan
,
Program Chairs:
Marc Bui
EPHE, France
,
Biplab Sikdar
NUS, Singapore
,
Ichiro IDE
Nagoya, Japan
,
Huynh Thi Thanh Binh
HUST, Vietnam
,
Publications Chairs:
Worrawat Engchuan
Canada
,
Dinh Viet Sang
HUST, Vietnam
,
Nguyen Thi Oanh
HUST, Vietnam

Copyright © 2017 ACM.

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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SOICT: School of Information and Communication Technology - HUST
NAFOSTED: The National Foundation for Science and Technology Development

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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 07 December 2017

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SoICT 2017

SoICT 2017: The Eighth International Symposium on Information and Communication Technology

December 7 - 8, 2017

Nha Trang City, Viet Nam

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Overall Acceptance Rate 147 of 318 submissions, 46%

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Cited By

Mahmoud MKang H(2023)GANMasker: A Two-Stage Generative Adversarial Network for High-Quality Face Mask RemovalSensors10.3390/s2316709423:16(7094)Online publication date: 10-Aug-2023
https://doi.org/10.3390/s23167094
Naufal Mas MAl Maki W(2023)Image Inpainting Using PatchGAN2023 3rd International Conference on Intelligent Cybernetics Technology & Applications (ICICyTA)10.1109/ICICyTA60173.2023.10428719(61-66)Online publication date: 13-Dec-2023
https://doi.org/10.1109/ICICyTA60173.2023.10428719
Haddadi YMansouri BKhodja F(2023)A novel bio-inspired optimization algorithm for medical image restoration using Enhanced Regularized Inverse FilteringResearch on Biomedical Engineering10.1007/s42600-023-00269-939:1(233-244)Online publication date: 20-Feb-2023
https://doi.org/10.1007/s42600-023-00269-9
Thanh LThanh DHien NErkan UPrasath V(2021)Single Image Dehazing with Optimal Color Channels and Nonlinear Transformation2020 IEEE Eighth International Conference on Communications and Electronics (ICCE)10.1109/ICCE48956.2021.9352087(421-426)Online publication date: 13-Jan-2021
https://doi.org/10.1109/ICCE48956.2021.9352087
Surya Prasath VThanh DHieu LThanh L(2021)Compression artifacts reduction with multiscale tensor regularizationMultidimensional Systems and Signal Processing10.1007/s11045-020-00747-832:2(521-531)Online publication date: 1-Apr-2021
https://dl.acm.org/doi/10.1007/s11045-020-00747-8
Thanh DPrasath VSon NHieu L(2019)An adaptive image inpainting method based on the modified mumford-shah model and multiscale parameter estimationComputer Optics10.18287/2412-6179-2019-43-2-251-25743:2Online publication date: Apr-2019
https://doi.org/10.18287/2412-6179-2019-43-2-251-257
Zhang NJi HLiu LWang G(2019)Exemplar-based image inpainting using angle-aware patch matchingEURASIP Journal on Image and Video Processing10.1186/s13640-019-0471-22019:1Online publication date: 8-Jul-2019
https://doi.org/10.1186/s13640-019-0471-2
Hong NChi Thanh N(2019)A Single Image Dehazing Method Based on Adaptive Gamma Correction2019 6th NAFOSTED Conference on Information and Computer Science (NICS)10.1109/NICS48868.2019.9023882(558-562)Online publication date: Dec-2019
https://doi.org/10.1109/NICS48868.2019.9023882
Hue NThanh DThanh LNgoc Hien NSurya Prasath V(2019)Image Denoising with Overlapping Group Sparsity and Second Order Total Variation Regularization2019 6th NAFOSTED Conference on Information and Computer Science (NICS)10.1109/NICS48868.2019.9023801(370-374)Online publication date: Dec-2019
https://doi.org/10.1109/NICS48868.2019.9023801
Thanh LThanh DPrasath V(2019)Adaptive Texts Deconvolution Method for Real Natural Images2019 25th Asia-Pacific Conference on Communications (APCC)10.1109/APCC47188.2019.9026515(110-115)Online publication date: Nov-2019
https://doi.org/10.1109/APCC47188.2019.9026515
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