Image restoration

Image Restoration is the operation of taking a corrupt/noisy image and estimating the clean, original image. Corruption may come in many forms such… (More)
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Topic mentions per year

Topic mentions per year

1970-2018
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Papers overview

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Highly Cited
2011
Highly Cited
2011
Learning good image priors is of utmost importance for the study of vision, computer vision and image processing applications… (More)
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Highly Cited
2009
Highly Cited
2009
We propose in this paper to unify two different approaches to image restoration: On the one hand, learning a basis set… (More)
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Highly Cited
2008
Highly Cited
2008
Sparse representations of signals have drawn considerable interest in recent years. The assumption that natural signals, such as… (More)
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Highly Cited
2007
Highly Cited
2007
Iterative shrinkage/thresholding (1ST) algorithms have been recently proposed to handle a class of convex unconstrained… (More)
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Highly Cited
2005
Highly Cited
2005
We introduce a new iterative regularization procedure for inverse problems based on the use of Bregman distances, with particular… (More)
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Highly Cited
2005
Highly Cited
2005
It was assumed that the degraded image H was of the form H= W*S, where W is the original image, S is the point spread function… (More)
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Highly Cited
2003
Highly Cited
2003
This article may be used for research, teaching and private study purposes. Any substantial or systematic reproduction… (More)
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Highly Cited
2003
Highly Cited
2003
This paper introduces an expectation-maximization (EM) algorithm for image restoration (deconvolution) based on a penalized… (More)
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Highly Cited
1997
Highly Cited
1997
The three main tools in the single image restoration theory are the maximum likelihood (ML) estimator, the maximum a posteriori… (More)
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Highly Cited
1996
Highly Cited
1996
The primary difficulty with blind image restoration, or joint blur identification and image restoration, is insufficient… (More)
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