Deconvolution

Known as: Deconvolved, Focus restoration 
In mathematics, deconvolution is an algorithm-based process used to reverse the effects of convolution on recorded data. The concept of deconvolution… (More)
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Topic mentions per year

Topic mentions per year

1966-2017
020040019662017

Papers overview

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Highly Cited
2015
Highly Cited
2015
We propose a novel semantic segmentation algorithm by learning a deep deconvolution network. We learn the network on top of the… (More)
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Highly Cited
2011
Highly Cited
2011
Blind image deconvolution is an ill-posed problem that requires regularization to solve. However, many common forms of image… (More)
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Highly Cited
2010
Highly Cited
2010
We propose two algorithms based on Bregman iteration and operator splitting technique for nonlocal TV regularization problems… (More)
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Highly Cited
2009
Highly Cited
2009
The heavy-tailed distribution of gradients in natural scenes have proven effective priors for a range of problems such as… (More)
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Highly Cited
2009
Highly Cited
2009
Blind deconvolution is the recovery of a sharp version of a blurred image when the blur kernel is unknown. Recent algorithms have… (More)
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Highly Cited
1998
Highly Cited
1998
In this paper, we present a blind deconvolution algorithm based on the total variational (TV) minimization method proposed. The… (More)
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Highly Cited
1996
Highly Cited
1996
The goal of image restoration is to reconstruct the original scene from a degraded observation. This recovery process is critical… (More)
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Highly Cited
1996
Highly Cited
1996
A class of optimization criteria is proposed whose maximization allows us to carry out blind multichannel deconvolution in the… (More)
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Highly Cited
1995
Highly Cited
1995
We derive a new self-organizing learning algorithm that maximizes the information transferred in a network of nonlinear units… (More)
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Highly Cited
1995
Highly Cited
1995
We derive a new self-organising learning algorithm which maximises the information transferred in a network of non-linear units… (More)
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