Seismic signal denoising using total generalized variation with overlapping group sparsity in the accelerated ADMM framework-Reference-Cited by-同舟云学术

Seismic signal denoising using total generalized variation with overlapping group sparsity in the accelerated ADMM framework

Published:2019-02-01 Issue:1 Volume:16 Page:30-51
ISSN:1742-2132
Container-title:Journal of Geophysics and Engineering
language:en
Short-container-title:

Author:

Chen Yingpin¹²^ORCID,Peng Zhenming²³,Li Meihui²³,Yu Fei¹,Lin Fan¹

Affiliation:

1. School of Physics and Information Engineering, Minnan Normal University, Department of Electronic Engineering, No. 36, Xianqianzhi Road, Zhangzhou, 363000, China

2. School of Information and Communication Engineering, University of Electronic Science and Technology of China, Department of Information Engineering, No. 4, Section 2, North Jianshe Road, Chengdu, 610054, Sichuan Province, China

3. Center for Information Geoscience, University of Electronic Science and Technology of China, No. 4, Section 2, North Jianshe Road, Chengdu, 610054, Sichuan Province, China

Funder

National Natural Science Foundation of China

Foundation of Fujian Province Great Teaching Reform

Education and Scientific Research Foundation of Education Department of Fujian Province for Middle-aged and Young Teachers

Foundation of Department of Education of Guangdong Province

Open Foundation of Digital Signal and Image Processing Key Laboratory of Guangdong Province

Publisher

Oxford University Press (OUP)

Subject

Management, Monitoring, Policy and Law,Industrial and Manufacturing Engineering,Geology,Geophysics

Link

http://academic.oup.com/jge/article-pdf/16/1/30/28296539/gxy003.pdf

Reference27 articles.

1. Distributed optimization and statistical learning via the alternating direction method of multipliers;Boyd;Foundations and Trends in Machine Learning,2010

2. Total generalized variation;Bredies;SIAM Journal on Imaging Sciences,2010

3. Fast overlapping group sparsity total variation image denoising based on fast Fourier transform and split Bergman iterations;Chen,2017

4. Sparse directional image representations using the discrete shearlet transform;Easley;Applied and Computational Harmonic Analysis,2008

5. A dual algorithm for the solution of nonlinear variational problems via finite element approximation;Gabay;Computers & Mathematics with Applications,1976

Cited by 13 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Robust multidimensional reconstruction via group sparsity with Radon operators;GEOPHYSICS;2024-03-18

2. Denoising on Textured Image Using Total Generalized Variation With Overlapping Group Sparsity Based on Fast Split Bregman Method;IEEE Access;2024

3. Regularized Full-Waveform Inversion With Shearlet Transform and Total Generalized Variation;IEEE Transactions on Geoscience and Remote Sensing;2024

4. Image Restoration under Cauchy Noise: A Group Sparse Representation and Multidirectional Total Generalized Variation Approach;Traitement du Signal;2023-06-28

5. Random noise attenuation with weak feature preservation via total variation regularization;Journal of Applied Geophysics;2022-11