An Analysis and Implementation of the BM3D Image Denoising Method
Marc Lebrun
→ BibTeX
@article{ipol.2012.l-bm3d,
    title   = {{An Analysis and Implementation of the BM3D Image Denoising Method}},
    author  = {Lebrun, Marc},
    journal = {{Image Processing On Line}},
    volume  = {2},
    pages   = {175--213},
    year    = {2012},
    doi     = {10.5201/ipol.2012.l-bm3d},
}
% if your bibliography style doesn't support doi fields:
    note    = {\url{http://dx.doi.org/10.5201/ipol.2012.l-bm3d}}
published
2012-08-08
reference
Marc Lebrun, An Analysis and Implementation of the BM3D Image Denoising Method, Image Processing On Line, 2 (2012), pp. 175–213. http://dx.doi.org/10.5201/ipol.2012.l-bm3d

Communicated by Jean-Michel morel
Demo edited by Miguel Colom

Abstract

BM3D is a recent denoising method based on the fact that an image has a locally sparse representation in transform domain. This sparsity is enhanced by grouping similar 2D image patches into 3D groups. In this paper we propose an open-source implementation of the method. We discuss the choice of all parameter methods and confirm their actual optimality. The description of the method is rewritten with a a more transparent notation that in the original paper. A final index gives nonetheless the correspondence between the new notation and the original notation.

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