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» Optimal Denoising in Redundant Representations
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Publication
285views
13 years 11 months ago
Center of mass encoding: a self-adaptive representation with adjustable redundancy for real-valued parameters
In this paper we describe a new class of representations for realvalued parameters called Center of Mass Encoding (CoME). CoME is based on variable length strings, it is self-adap...
Claudio Mattiussi, Peter Dürr, Dario Floreano
ICASSP
2007
IEEE
14 years 2 months ago
Morphological Diversity and Sparse Image Denoising
Overcomplete representations are attracting interest in image processing theory, particularly due to their potential to generate sparse representations of data based on their morp...
Mohamed-Jalal Fadili, Jean-Luc Starck, Larbi Boubc...
CORR
2010
Springer
109views Education» more  CORR 2010»
13 years 2 months ago
Edge Preserving Image Denoising in Reproducing Kernel Hilbert Spaces
The goal of this paper is the development of a novel approach for the problem of Noise Removal, based on the theory of Reproducing Kernels Hilbert Spaces (RKHS). The problem is ca...
Pantelis Bouboulis, Sergios Theodoridis
TIP
2008
127views more  TIP 2008»
13 years 7 months ago
SURE-LET Multichannel Image Denoising: Interscale Orthonormal Wavelet Thresholding
Abstract--We propose a vector/matrix extension of our denoising algorithm initially developed for grayscale images, in order to efficiently process multichannel (e.g., color) image...
Florian Luisier, Thierry Blu
TSP
2008
143views more  TSP 2008»
13 years 7 months ago
A Nonlinear Stein-Based Estimator for Multichannel Image Denoising
The use of multicomponent images has become widespread with the improvement of multisensor systems having increased spatial and spectral resolutions. However, the observed images ...
Caroline Chaux, Laurent Duval, Amel Benazza-Benyah...