publication . Article . 2010

Image Denoising Methods. A New Nonlocal Principle

Bartomeu Coll; Jean-Michel Morel; Antoni Buades;
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  • Published: 06 Feb 2010 Journal: SIAM Review, volume 52, pages 113-147 (issn: 0036-1445, eissn: 1095-7200, Copyright policy)
  • Publisher: Society for Industrial & Applied Mathematics (SIAM)
Abstract
The search for efficient image denoising methods is still a valid challenge at the crossing of functional analysis and statistics. In spite of the sophistication of the recently proposed methods, most algorithms have not yet attained a desirable level of applicability. All show an outstanding performance when the image model corresponds to the algorithm assumptions but fail in general and create artifacts or remove fine structures in images. The main focus of this paper is, first, to define a general mathematical and experimental methodology to compare and classify classical image denoising algorithms and, second, to propose a nonlocal means (NL-means) algorithm...
Subjects
arXiv: Computer Science::Computer Vision and Pattern Recognition
ACM Computing Classification System: ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION
free text keywords: Theoretical Computer Science, Applied Mathematics, Computational Mathematics, Smoothing, Image restoration, Non-local means, Digital image, Noise reduction, Algorithm, Statistical model, Mathematics, Adaptive filter, White noise
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