Show simple item record

dc.contributor.authorSutour, Camille*
dc.contributor.authorDeledalle, Charles-Alban*
dc.contributor.authorAujol, Jean-François*
dc.date.accessioned2015-04-07T11:32:37Z
dc.date.available2015-04-07T11:32:37Z
dc.date.issued2014
dc.identifier.urihttps://basepub.dauphine.fr/handle/123456789/14885
dc.language.isoenen
dc.subjectImage denoisingen
dc.subject.ddc519en
dc.titleAdaptive Regularization of the NL-Means: Application to Image and Video Denoisingen
dc.typeArticle accepté pour publication ou publié
dc.description.abstractenImage denoising is a central problem in image processing and it is often a necessary step prior to higher level analysis such as segmentation, reconstruction, or super-resolution. The nonlocal means (NL-means) perform denoising by exploiting the natural redundancy of patterns inside an image; they perform a weighted average of pixels whose neighborhoods (patches) are close to each other. This reduces significantly the noise while preserving most of the image content. While it performs well on flat areas and textures, it suffers from two opposite drawbacks: it might over-smooth low-contrasted areas or leave a residual noise around edges and singular structures. Denoising can also be performed by total variation minimization-the Rudin, Osher and Fatemi model-which leads to restore regular images, but it is prone to over-smooth textures, staircasing effects, and contrast losses. We introduce in this paper a variational approach that corrects the over-smoothing and reduces the residual noise of the NL-means by adaptively regularizing nonlocal methods with the total variation. The proposed regularized NL-means algorithm combines these methods and reduces both of their respective defaults by minimizing an adaptive total variation with a nonlocal data fidelity term. Besides, this model adapts to different noise statistics and a fast solution can be obtained in the general case of the exponential family. We develop this model for image denoising and we adapt it to video denoising with 3D patches.en
dc.relation.isversionofjnlnameIEEE Transactions on Image Processing
dc.relation.isversionofjnlvol23en
dc.relation.isversionofjnlissue8en
dc.relation.isversionofjnldate2014
dc.relation.isversionofjnlpages3506 - 3521en
dc.relation.isversionofdoihttp://dx.doi.org/10.1109/TIP.2014.2329448en
dc.identifier.urlsitehttps://hal.archives-ouvertes.fr/hal-00854830v3en
dc.relation.isversionofjnlpublisherIEEEen
dc.subject.ddclabelProbabilités et mathématiques appliquéesen
dc.relation.forthcomingnonen
dc.relation.forthcomingprintnonen
hal.person.labIds*
hal.person.labIds*
hal.person.labIds*


Files in this item

FilesSizeFormatView

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record