Douglas-rachford algorithm and tv regularization for X-rays image reconstruction
| Autor: | Abdessalem Benammar, Redouane Drai, Tarek Boutkedjirt, Aicha Allag |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Noise measurement
Computer science ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications 02 engineering and technology Iterative reconstruction Inverse problem Total variation denoising Regularization (mathematics) symbols.namesake Gaussian noise 0202 electrical engineering electronic engineering information engineering symbols 020201 artificial intelligence & image processing Minification Tomography Algorithm |
| Zdroj: | 2017 5th International Conference on Electrical Engineering - Boumerdes (ICEE-B). |
| DOI: | 10.1109/icee-b.2017.8191976 |
| Popis: | In this paper, an effective method for minimizing a convex criterion is proposed to allow its application in solving inverse problems related to the X-ray tomography. Proximal algorithms associated to total variation regularization are used knowing that they have high quality to converge. The main objective is to obtain high quality reconstructed images. We applied this algorithm to non-destructive evaluation of material in the case of 2D reconstruction of X-rays tomographic images containing real defects. The obtained results are promising and demonstrate the benefits of the proposed approach. |
| Databáze: | OpenAIRE |
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