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.
Cita come
Torbjorn Ringholm (2026). DG-EulerElastica (https://github.com/tringholm/DG-Elastica), GitHub. Recuperato .
Informazioni generali
Compatibilità della release di MATLAB
- Compatibile con qualsiasi release
Compatibilità della piattaforma
- Windows
- macOS
- Linux
Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate
| Versione | Pubblicato | Note della release | 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 |
