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Blind deconvolution
Known as:
Blind
In electrical engineering and applied mathematics, blind deconvolution is deconvolution without explicit knowledge of the impulse response function…
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Related topics
Related topics
13 relations
Blind equalization
Cepstrum
Convolution
Deblurring
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Broader (2)
Estimation theory
Signal processing
Papers overview
Semantic Scholar uses AI to extract papers important to this topic.
2015
2015
Discriminative learning of iteration-wise priors for blind deconvolution
W. Zuo
,
Dongwei Ren
,
Shuhang Gu
,
Liang Lin
,
Lei Zhang
Computer Vision and Pattern Recognition
2015
Corpus ID: 6499976
The maximum a posterior (MAP)-based blind deconvolution framework generally involves two stages: blur kernel estimation and non…
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2013
2013
Analysis of Bayesian Blind Deconvolution
D. Wipf
,
Haichao Zhang
Energy Minimization Methods in Computer Vision…
2013
Corpus ID: 46092606
Blind deconvolution involves the estimation of a sharp signal or image given only a blurry observation. Because this problem is…
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Highly Cited
2006
Highly Cited
2006
Multichannel blind deconvolution for source separation in convolutive mixtures of speech
Kostas Kokkinakis
,
A. Nandi
IEEE Transactions on Audio, Speech, and Language…
2006
Corpus ID: 7166310
This paper addresses the blind separation of convolutive and temporally correlated mixtures of speech, through the use of a…
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2006
2006
Application of iterative blind deconvolution to the reconstruction of LBT LINC-NIRVANA images
G. Desidera
,
B. Anconelli
,
M. Bertero
,
P. Boccacci
,
M. Carbillet
2006
Corpus ID: 121647279
Context. The paper is about methods for multiple image deconvolution and their application to the reconstruction of the images…
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2004
2004
Multichannel blind deconvolution of nonminimum-phase systems using filter decomposition
Liqing Zhang
,
A. Cichocki
,
S. Amari
IEEE Transactions on Signal Processing
2004
Corpus ID: 16373093
In this paper, we present a new filter decomposition method for multichannel blind deconvolution of nonminimum-phase systems…
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Highly Cited
2003
Highly Cited
2003
Quasi Maximum Likelihood Blind Deconvolution of Images Using Optimal Sparse Representations
A. Bronstein
,
M. Bronstein
,
M. Zibulevsky
,
Y. Zeevi
2003
Corpus ID: 2686061
A quasi maximum likelihood framework for blind deconvolution of images is presented. We generalize the relative Newton algorithm…
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2002
2002
Restoration of interferometric images II. The case-study of the Large Binocular Telescope
M. Carbillet
,
S. Correia
,
P. Boccacci
,
M. Bertero
2002
Corpus ID: 54601846
We present in this paper a study of the imaging properties of the Large Binocular Telescope interfer- ometer, focusing our…
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2000
2000
A two-stage algorithm for MIMO blind deconvolution of nonstationary colored signals
Chor Tin Ma
,
Z. Ding
,
S. Yau
IEEE Transactions on Signal Processing
2000
Corpus ID: 31289644
A new two-stage algorithm is proposed for the deconvolution of multi-input multi-output (MIMO) systems with colored input signals…
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1999
1999
Robust blind second-order deconvolution
A. Gorokhov
,
M. Kristensson
,
B. Ottersten
IEEE Signal Processing Letters
1999
Corpus ID: 14931797
Second-order blind deconvolution of single input multiple output (SIMO) finite impulse response (FIR) channels is considered. A…
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1998
1998
The application of blind channel identification techniques to prestack seismic deconvolution
Hui Luo
,
Yanda Li
Proceedings of the IEEE
1998
Corpus ID: 58957857
One objective of seismic signal processing is to identify the layered subsurface structure by sending seismic wavelets into the…
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