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» Optimal Denoising in Redundant Representations
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IDA
2009
Springer
13 years 11 months ago
Image Denoising Using Sparse Representations
The problem of removing white zero-mean Gaussian noise from an image is an interesting inverse problem to be investigated in this paper through sparse and redundant representations...
Seyyed Majid Valiollahzadeh, Hamed Firouzi, Massou...
ICIP
2010
IEEE
13 years 2 months ago
Morphological wavelet transform with adaptive dyadic structures
We propose a two component method for denoising multidimensional signals, e.g. images. The first component uses a dynamic programing algorithm of complexity O(N log N) to find an ...
Zhen James Xiang, Peter J. Ramadge
ICIP
2005
IEEE
14 years 7 months ago
Signal estimation using multiple-wavelet representations and Gaussian models
Signal processing using over-complete representations has been an active research field in recent years. In this article, we study the following two related problems: (1) given tw...
Guang Deng
TIP
2008
181views more  TIP 2008»
13 years 5 months ago
Sparse Representation for Color Image Restoration
Abstract--Sparse representations of signals have drawn considerable interest in recent years. The assumption that natural signals, such as images, admit a sparse decomposition over...
Julien Mairal, Michael Elad, Guillermo Sapiro
ICIP
2009
IEEE
14 years 6 months ago
Weighted Average Denoising With Sparse Orthonormal Transforms
Sparse Orthonormal Transforms (SOT) has recently been proposed as a data compression method that can achieve sparser representations in transform domain. Given initial conditions,...