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» Image Denoising Using Sparse Representations
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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
TSP
2010
13 years 5 days ago
Closed-form MMSE estimation for signal denoising under sparse representation modeling over a unitary dictionary
This paper deals with the Bayesian signal denoising problem, assuming a prior based on a sparse representation modeling over a unitary dictionary. It is well known that the maximum...
Matan Protter, Irad Yavneh, Michael Elad
CORR
2010
Springer
210views Education» more  CORR 2010»
13 years 5 months ago
Exploiting Statistical Dependencies in Sparse Representations for Signal Recovery
Signal modeling lies at the core of numerous signal and image processing applications. A recent approach that has drawn considerable attention is sparse representation modeling, in...
Tomer Faktor, Yonina C. Eldar, Michael Elad
DAGM
2001
Springer
13 years 10 months ago
Scale Adaptive Filtering Derived from the Laplace Equation
In this paper, we present a new approach to scale-space which is derived from the 3D Laplace equation instead of the heat equation. The resulting lowpass and bandpass filters are...
Michael Felsberg, Gerald Sommer
ICIP
2007
IEEE
14 years 7 months ago
Color Image Denoising via Sparse 3D Collaborative Filtering with Grouping Constraint in Luminance-Chrominance Space
We propose an effective color image denoising method that exploits ltering in highly sparse local 3D transform domain in each channel of a luminance-chrominance color space. For e...
Kostadin Dabov, Alessandro Foi, Vladimir Katkovnik...