A combined higher order non-convex total variation with overlapping group sparsity for Poisson noise removal
Author:
Publisher
Springer Science and Business Media LLC
Subject
Applied Mathematics,Computational Mathematics
Link
https://link.springer.com/content/pdf/10.1007/s40314-022-01828-z.pdf
Reference58 articles.
1. Adam T, Paramesran R (2019) Image denoising using combined higher order non-convex total variation with overlapping group sparsity. Multidimens Syst Signal Process 30(1):503–527
2. Adam T, Paramesran R (2020) Hybrid non-convex second-order total variation with applications to non-blind image deblurring. SIViP 14(1):115–123
3. Adam T, Paramesran R, Mingming Y, Ratnavelu K (2021) Combined higher order non-convex total variation with overlapping group sparsity for impulse noise removal. Multimed Tools Appl 80(12):18503–18530
4. Afonso MV, Bioucas-Dias JM, Figueiredo MA (2010) An augmented lagrangian approach to the constrained optimization formulation of imaging inverse problems. IEEE Trans Image Process 20(3):681–695
5. Attouch H, Bolte J, Svaiter BF (2013) Convergence of descent methods for semi-algebraic and tame problems: proximal algorithms, forward-backward splitting, and regularized gauss-seidel methods. Math Program 137(1–2):91–129
Cited by 6 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. Low intensity radiation image restoration method based on Bayesian maximum posterior framework;Annals of Nuclear Energy;2024-12
2. Poisson image deblurring with frame-based nonconvex regularization;Applied Mathematical Modelling;2024-08
3. Proximal alternating minimization method for Poisson noise removal;Signal, Image and Video Processing;2024-05-26
4. Synthetic aperture radar image and its despeckling using variational methods: A Review of recent trends;Signal Processing;2023-11
5. Hybrid priors based on weighted hyper-Laplacian with overlapping group sparsity for poisson noise removal;Signal, Image and Video Processing;2023-03-24
1.学者识别学者识别
2.学术分析学术分析
3.人才评估人才评估
"同舟云学术"是以全球学者为主线，采集、加工和组织学术论文而形成的新型学术文献查询和分析系统，可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容，当前同舟云学术共收录了国内外主流学术期刊6万余种，收集的期刊论文及会议论文总量共计约1.5亿篇，并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询！咨询电话：010-8811{复制后删除}0370
www.globalauthorid.com
TOP
Copyright © 2019-2024 北京同舟云网络信息技术有限公司 京公网安备11010802033243号 京ICP备18003416号-3