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» Principal components for non-local means image denoising
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ICIP
2008
IEEE
14 years 6 months ago
Principal components for non-local means image denoising
This paper presents an image denoising algorithm that uses principal component analysis (PCA) in conjunction with the non-local means image denoising. Image neighborhood vectors u...
Tolga Tasdizen
MICCAI
2006
Springer
14 years 5 months ago
Fast Non Local Means Denoising for 3D MR Images
One critical issue in the context of image restoration is the problem of noise removal while keeping the integrity of relevant image information. Denoising is a crucial step to inc...
Pierrick Coupé, Pierre Yger, Christian Bari...
MICCAI
2007
Springer
14 years 5 months ago
Non-Local Means Variants for Denoising of Diffusion-Weighted and Diffusion Tensor MRI
Abstract. Diffusion tensor imaging (DT-MRI) is very sensitive to corrupting noise due to the non linear relationship between the diffusionweighted image intensities (DW-MRI) and th...
Christian Barillot, Nicolas Wiest-Daesslé, ...
CVPR
2005
IEEE
14 years 6 months ago
A Non-Local Algorithm for Image Denoising
We propose a new measure, the method noise, to evaluate and compare the performance of digital image denoising methods. We first compute and analyze this method noise for a wide c...
Antoni Buades, Bartomeu Coll, Jean-Michel Morel
ICIP
2009
IEEE
13 years 2 months ago
Markovian clustering for the non-local means image denoising
The non-local means filter is one of powerful denoising methods which allows participation of far, but proper pixels in the denoising process. Although the weights of non-similar ...
Rachid Hedjam, Reza Farrahi Moghaddam, Mohamed Che...