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» Complexity-Regularized Image Denoising
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ICIP
2008
IEEE
15 years 11 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
ICIP
2004
IEEE
15 years 11 months ago
Theoretical analysis of some regularized image denoising methods
Regularization techniques have been in use in signal recovery for over four decades. In this paper, we propose a new, synthetic approach to the study of regularization methods in ...
Patrick L. Combettes, Valerie R. Wajs
ICIP
2009
IEEE
14 years 7 months ago
A generalized vector-valued total variation algorithm
We propose a simple but flexible method for solving the generalized vector-valued TV (VTV) functional, which includes both the 2 -VTV and 1 -VTV regularizations as special cases, ...
Paul Rodriguez, Brendt Wohlberg
71
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ICASSP
2011
IEEE
14 years 1 months ago
Sparsity-based Sinogram Denoising for low-dose Computed Tomography
We propose a sinogram restoration method which consists of a patch-wise non-linear processing, based on a sparsity prior in terms of a learned dictionary. An off-line learning pro...
Joseph Shtok, Michael Elad, Michael Zibulevsky
CVPR
2006
IEEE
15 years 11 months ago
Image Denoising Via Learned Dictionaries and Sparse representation
We address the image denoising problem, where zeromean white and homogeneous Gaussian additive noise should be removed from a given image. The approach taken is based on sparse an...
Michael Elad, Michal Aharon