Mumford–Shah Regularization
Algorithms for edge preserving image reconstruction based on the Mumford-Shah model (denoising, deblurring, inpainting, inverse problems)
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Algorithms for edge preserving image restoration based on the Mumford-Shah model including
- image smoothing/denoising
- regularization of inverse problems (deblurring, Radon inversion)
This is an implementation of the methods described in the paper
"K. Hohm, M. Storath, A. Weinmann, An algorithmic framework for Mumford–Shah regularization of inverse problems in imaging, Inverse Problems 31 (11)115011, 2015"
Cite As
K. Hohm, M. Storath, A. Weinmann, An algorithmic framework for Mumford–Shah regularization of inverse problems in imaging, Inverse Problems 31 (11)115011, 2015
General Information
- Version 1.0.1 (13.8 MB)
-
View License on GitHub
MATLAB Release Compatibility
- Compatible with any release
Platform Compatibility
- Windows
- macOS
- Linux
Versions that use the GitHub default branch cannot be downloaded
| Version | Published | Release Notes | Action |
|---|---|---|---|
| 1.0.1 | Description update |
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| 1.0.0 |
