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Total Variation Denoising in $l^1$ Anisotropy

  • Published:2017-01 Issue:4 Volume:10 Page:1691-1723
  • ISSN:1936-4954
  • Container-title:SIAM Journal on Imaging Sciences
  • language:en
  • Short-container-title:SIAM J. Imaging Sci.

Author:

Łasica Michał,Moll Salvador,Mucha Piotr B.

Funder

Not Well-Known Funding Body

National Institute of Environmental Health Sciences

Ministerio de Economía y Competitividad

Publisher

Society for Industrial & Applied Mathematics (SIAM)

Subject

Applied Mathematics,General Mathematics

Cited by 15 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. Anisotropic Chan–Vese segmentation;Nonlinear Analysis: Real World Applications;2023-10

2. Weak solutions for the Stokes system for compressible non‐Newtonian fluids with unbounded divergence;Mathematical Methods in the Applied Sciences;2023-01-29

3. The fourth-order total variation flow in $ \mathbb{R}^n $;Mathematics in Engineering;2023

4. An Augmented Lagrangian Model for Signal Segmentation;Mediterranean Journal of Mathematics;2022-04-29

5. Adaptive total variation based image segmentation with semi-proximal alternating minimization;Signal Processing;2021-06
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