DocumentCode
3495800
Title
NL-Means and aggregation procedures
Author
Salmon, J. ; Le Pennec, E.
Author_Institution
Lab. de Probabilite et Modeles Aleatoires, Univ. Paris 7- Diderot, Chevaleret, France
fYear
2009
fDate
7-10 Nov. 2009
Firstpage
2977
Lastpage
2980
Abstract
Patch based denoising methods, such as the NL-Means, have emerged recently as simple and efficient denoising methods. This paper provides a new insight on those methods by showing their connection with recent statistical aggregation techniques. Within this aggregation framework, we propose some novel patch based denoising methods. We provide some theoretical justification and then explain how to implement them with a Monte Carlo based algorithm.
Keywords
Monte Carlo methods; image denoising; statistical analysis; Monte Carlo based algorithm; NL-means procedures; aggregation procedures; patch based denoising; statistical aggregation techniques; Additive noise; Diffusion processes; Gaussian noise; Image processing; Kernel; Monte Carlo methods; Noise reduction; Pixel; Smoothing methods; Statistics; Diffusion processes; Gaussian noise; Image processing; Monte Carlo methods; Statistics;
fLanguage
English
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2009 16th IEEE International Conference on
Conference_Location
Cairo
ISSN
1522-4880
Print_ISBN
978-1-4244-5653-6
Electronic_ISBN
1522-4880
Type
conf
DOI
10.1109/ICIP.2009.5414512
Filename
5414512
Link To Document