Mumford–Shah Regularization

Version 1.0.1 (13.8 MB) by Martin Storath
Algorithms for edge preserving image reconstruction based on the Mumford-Shah model (denoising, deblurring, inpainting, inverse problems)
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Updated 12 Apr 2020
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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

MATLAB Release Compatibility
Created with R2015a
Compatible with any release
Platform Compatibility
Windows macOS Linux

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Version Published Release Notes
1.0.1

Description update
1.0.0

To view or report issues in this GitHub add-on, visit the GitHub Repository.
To view or report issues in this GitHub add-on, visit the GitHub Repository.