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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…
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AIPS
Algorithm
Artificial neuron
Bioimage informatics
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Broader (1)
Signal processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
Highly Cited
2015
Highly Cited
2015
Learning Deconvolution Network for Semantic Segmentation
Hyeonwoo Noh
,
Seunghoon Hong
,
Bohyung Han
IEEE International Conference on Computer Vision…
2015
Corpus ID: 623137
We propose a novel semantic segmentation algorithm by learning a deep deconvolution network. We learn the network on top of the…
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Highly Cited
2014
Highly Cited
2014
Deep Convolutional Neural Network for Image Deconvolution
Li Xu
,
Jimmy S. J. Ren
,
Ce Liu
,
Jiaya Jia
NIPS
2014
Corpus ID: 7036324
Many fundamental image-related problems involve deconvolution operators. Real blur degradation seldom complies with an ideal…
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Highly Cited
2010
Highly Cited
2010
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction
Xiaoqun Zhang
,
M. Burger
,
X. Bresson
,
S. Osher
SIAM J. Imaging Sci.
2010
Corpus ID: 17484145
Bregman methods introduced in [S. Osher, M. Burger, D. Goldfarb, J. Xu, and W. Yin, Multiscale Model. Simul., 4 (2005), pp. 460…
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Highly Cited
2009
Highly Cited
2009
Fast Image Deconvolution using Hyper-Laplacian Priors
Dilip Krishnan
,
R. Fergus
NIPS
2009
Corpus ID: 7894188
The heavy-tailed distribution of gradients in natural scenes have proven effective priors for a range of problems such as…
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Highly Cited
2008
Highly Cited
2008
Multiscale CLEAN Deconvolution of Radio Synthesis Images
T. Cornwell
IEEE Journal of Selected Topics in Signal…
2008
Corpus ID: 458616
Radio synthesis imaging is dependent upon deconvolution algorithms to counteract the sparse sampling of the Fourier plane. These…
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Review
2002
Review
2002
Deconvolution in Astronomy: A Review
Jean-Luc Starck
,
É. Pantin
,
F. Murtagh
2002
Corpus ID: 16355884
This article reviews different deconvolution methods. The all‐pervasive presence of noise is what makes deconvolution…
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Highly Cited
1999
Highly Cited
1999
Iterative deconvolution and receiver-function estimation
J. P. Ligorría
,
C. Ammon
1999
Corpus ID: 17887468
We describe and apply an iterative, time-domain deconvolution approach to receiver-function estimation and illustrate the…
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Highly Cited
1997
Highly Cited
1997
Deconvolution of images and spectra
P. Jansson
1997
Corpus ID: 118291033
Convolution and related concepts, P.A. Jansson distortion of optical spectra, P.A. Jansson traditional linear deconvolution…
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Review
1996
Review
1996
Blind image deconvolution
D. Kundur
,
D. Hatzinakos
IEEE Signal Process. Mag.
1996
Corpus ID: 62224089
The goal of image restoration is to reconstruct the original scene from a degraded observation. This recovery process is critical…
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Review
1990
Review
1990
Magnetic interpretation in three dimensions using Euler deconvolution
A. Reid
,
J. Allsop
,
H. Granser
,
A. Millett
,
I. Somerton
1990
Corpus ID: 53952863
Magnetic‐survey data in grid form may be interpreted rapidly for source positions and depths by deconvolution using Euler’s…
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