Image denoising/inpainting with Euler's elastica prior.
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DG-EulerElastica is a package for variational image analysis using Euler's elastica as a regularizer. It is designed to be easy to use, with little user input required, yet still providing good results. The underlying optimization algorithm used is based on discrete gradients from geometric numerical integration, and converges in all but the most extreme cases. Get started by downloading the package and running/reading the elasticaDemo.m script.
Three implementations are included. One (slow) in pure MATLAB code, one (faster) using the MEX interface with a C code for critical parts, and one (fastest) using MEX and parallelization.
The MATLAB Image Processing Toolbox is needed for the demo script only, and the Parallel Computing Toolbox for the parallel implementation only.
Citation pour cette source
Torbjorn Ringholm (2026). DG-EulerElastica (https://github.com/tringholm/DG-Elastica), GitHub. Extrait(e) le .
Informations générales
Compatibilité avec les versions de MATLAB
- Compatible avec toutes les versions
Plateformes compatibles
- Windows
- macOS
- Linux
Les versions qui utilisent la branche GitHub par défaut ne peuvent pas être téléchargées
| Version | Publié le | Notes de version | Action |
|---|---|---|---|
| 1.11.0.0 | Corrected typos |
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| 1.1.0.0 | Updated algorithm image and description. |
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| 1.0.0.0 |
