Automatic estimation of the noise level function for adaptive blind denoising
| hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
| hal.structure.identifier | Laboratoire Bordelais de Recherche en Informatique [LaBRI] | |
| hal.structure.identifier | Institut für Numerische und Angewandte Mathematik | |
| dc.contributor.author | SUTOUR, Camille | |
| hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
| dc.contributor.author | AUJOL, Jean-François | |
| hal.structure.identifier | Institut de Mathématiques de Bordeaux [IMB] | |
| dc.contributor.author | DELEDALLE, Charles-Alban | |
| dc.date.accessioned | 2024-04-04T03:11:06Z | |
| dc.date.available | 2024-04-04T03:11:06Z | |
| dc.date.issued | 2016 | |
| dc.date.conference | 2016-08-29 | |
| dc.identifier.uri | https://oskar-bordeaux.fr/handle/20.500.12278/193742 | |
| dc.description.abstractEn | Image denoising is a fundamental problem in image processing and many powerful algorithms have been developed. However, they often rely on the knowledge of the noise distribution and its parameters. We propose a fully blind denoising method that first estimates the noise level function then uses this estimation for automatic denoising. First we perform the non-parametric detection of homogeneous image regions in order to compute a scatterplot of the noise statistics, then we estimate the noise level function with the least absolute deviation estimator. The noise level function parameters are then directly re-injected into an adaptive denoising algorithm based on the non-local means with no prior model fitting. Results show the performance of the noise estimation and denoising methods, and we provide a robust blind denoising tool. | |
| dc.language.iso | en | |
| dc.source.title | Signal Processing Conference (EUSIPCO), 2016 24th European | |
| dc.title.en | Automatic estimation of the noise level function for adaptive blind denoising | |
| dc.type | Communication dans un congrès | |
| dc.identifier.doi | 10.1109/EUSIPCO.2016.7760213 | |
| dc.subject.hal | Informatique [cs]/Traitement des images | |
| bordeaux.page | 76 - 80 | |
| bordeaux.hal.laboratories | Institut de Mathématiques de Bordeaux (IMB) - UMR 5251 | * |
| bordeaux.institution | Université de Bordeaux | |
| bordeaux.institution | Bordeaux INP | |
| bordeaux.institution | CNRS | |
| bordeaux.conference.title | 24th European Signal Processing Conference (EUSIPCO), 2016 | |
| bordeaux.country | HU | |
| bordeaux.title.proceeding | Signal Processing Conference (EUSIPCO), 2016 24th European | |
| bordeaux.conference.city | Budapest | |
| bordeaux.peerReviewed | oui | |
| hal.identifier | hal-01450723 | |
| hal.version | 1 | |
| hal.invited | non | |
| hal.proceedings | oui | |
| hal.conference.end | 2016-09-02 | |
| hal.popular | non | |
| hal.audience | Internationale | |
| hal.origin.link | https://hal.archives-ouvertes.fr//hal-01450723v1 | |
| bordeaux.COinS | ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.btitle=Signal%20Processing%20Conference%20(EUSIPCO),%202016%2024th%20European&rft.date=2016&rft.spage=76%20-%2080&rft.epage=76%20-%2080&rft.au=SUTOUR,%20Camille&AUJOL,%20Jean-Fran%C3%A7ois&DELEDALLE,%20Charles-Alban&rft.genre=unknown |
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