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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… Expand
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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… Expand
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Highly Cited
2014
Highly Cited
2014
Many fundamental image-related problems involve deconvolution operators. Real blur degradation seldom complies with an ideal… Expand
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Highly Cited
2010
Highly Cited
2010
Bregman methods introduced in [S. Osher, M. Burger, D. Goldfarb, J. Xu, and W. Yin, Multiscale Model. Simul., 4 (2005), pp. 460… Expand
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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… Expand
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Review
2006
Review
2006
This paper presents an overview of various deconvolution techniques of 3D fluorescence microscopy images. It describes the… Expand
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Review
2002
Review
2002
This article reviews different deconvolution methods. The all-pervasive presence of noise is what makes deconvolution… Expand
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Highly Cited
1999
Highly Cited
1999
We describe and apply an iterative, time-domain deconvolution approach to receiver-function estimation and illustrate the… Expand
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Highly Cited
1997
Highly Cited
1997
Convolution and related concepts, P.A. Jansson distortion of optical spectra, P.A. Jansson traditional linear deconvolution… Expand
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Review
1996
Review
1996
The goal of image restoration is to reconstruct the original scene from a degraded observation. This recovery process is critical… Expand
Review
1990
Review
1990
Magnetic‐survey data in grid form may be interpreted rapidly for source positions and depths by deconvolution using Euler’s… Expand
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