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» Centralized Sparse Representation for Image Restoration
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ICCV
2011
IEEE
12 years 4 months ago
Centralized Sparse Representation for Image Restoration
This paper proposes a novel sparse representation model called centralized sparse representation (CSR) for image restoration tasks. In order for faithful image reconstruction, it ...
Weisheng Dong, Lei Zhang, Guangming Shi
ICIP
2009
IEEE
14 years 5 months ago
Image Restoration By Mixture Modelling Of An Overcomplete Linear Representation
We present a new image restoration method based on modelling the coefficients of an overcomplete wavelet response to natural images with a mixture of two Gaussian distributions, h...
TIP
2008
181views more  TIP 2008»
13 years 4 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
ICASSP
2009
IEEE
13 years 11 months ago
Quadtree structured restoration algorithms for piecewise polynomial images
Iterative shrinkage of sparse and redundant representations are at the heart of many state of the art denoising and deconvolution algorithms. They assume the signal is well approx...
Adam Scholefield, Pier Luigi Dragotti
JMIV
2011
138views more  JMIV 2011»
12 years 11 months ago
Direct Sparse Deblurring
We propose a deblurring algorithm that explicitly takes into account the sparse characteristics of natural images and does not entail solving a numerically ill-conditioned backwar...
Yifei Lou, Andrea L. Bertozzi, Stefano Soatto