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» Natural Image Denoising: Optimality and Inherent Bounds
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CVPR
2011
IEEE
13 years 1 months ago
Natural Image Denoising: Optimality and Inherent Bounds
The goal of natural image denoising is to estimate a clean version of a given noisy image, utilizing prior knowledge on the statistics of natural images. The problem has been stud...
Anat Levin, Boaz Nadler
ICIP
1997
IEEE
14 years 5 months ago
Complexity-Regularized Image Denoising
We develop a new approach to image denoising based on complexity regularization. This technique presents a flexible alternative to the more conventional l2 , l1 , and Besov regula...
Juan Liu, Pierre Moulin
ICASSP
2011
IEEE
12 years 8 months ago
Denoising sparse noise via online dictionary learning
The idea of learning overcomplete dictionaries based on the paradigm of compressive sensing has found numerous applications, among which image denoising is considered one of the m...
Anoop Cherian, Suvrit Sra, Nikolaos Papanikolopoul...
ICIP
2000
IEEE
14 years 5 months ago
Complexity-Regularized Denoising of Poisson-Corrupted Data
In this paper, we apply the complexity?regularization principle to Poisson imaging. We formulate a natural distortion measure in image space, and present a connection between comp...
Juan Liu, Pierre Moulin
ICIP
2009
IEEE
13 years 2 months ago
Best basis denoising with non-stationary wavelet packets
This article introduces a best basis search algorithm in a nonstationary (NS) wavelet packets dictionary. It computes an optimized labeled quad-tree that indexes the filters used ...
Nizar Ouarti, Gabriel Peyré