DG-EulerElastica

Image denoising/inpainting with Euler's elastica prior.
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Aggiornato 6 ott 2017

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 (2024). DG-EulerElastica (https://github.com/tringholm/DG-Elastica), GitHub. Recuperato .

Compatibilità della release di MATLAB
Creato con R2017a
Compatibile con qualsiasi release
Compatibilità della piattaforma
Windows macOS Linux

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Le versioni che utilizzano il ramo predefinito di GitHub non possono essere scaricate

Versione Pubblicato Note della release
1.11.0.0

Corrected typos

1.1.0.0

Updated algorithm image and description.

1.0.0.0

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Per visualizzare o segnalare problemi su questo componente aggiuntivo di GitHub, visita GitHub Repository.