FAQ

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)
Wikipedia

Topic mentions per year

Topic mentions per year

1966-2017
020040019662017

Related topics

Related topics

48 relations
AIPSAlgorithmArtificial neuronBioimage informatics
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Broader (1)

Signal processing

Related mentions per year

Related mentions per year

1936-2018
19401960198020002020
Deconvolution
Algorithm
Sampling (signal processing)
Iteration
Wavelet
Signal processing

Papers overview

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Highly Cited
2015
Highly Cited
2015
Learning Deconvolution Network for Semantic Segmentation
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 deconvolution using a normalized sparsity measure
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
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction
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
Fast Image Deconvolution using Hyper-Laplacian Priors
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
Understanding and evaluating blind deconvolution algorithms
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
Total variation blind deconvolution
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
Blind Image Deconvolution: An Algorithmic Approach to Practical Image Restoration
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
Contrasts for multichannel blind deconvolution
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
An information-maximization approach to blind separation and blind deconvolution
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
An information-maximisation approach to blind separation and blind deconvolution
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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