Blind deconvolution

In electrical engineering and applied mathematics, blind deconvolution is deconvolution without explicit knowledge of the impulse response function… (More)
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1975-2018
05019752018

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Highly Cited
2011
Highly Cited
2011
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
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
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
2009
Highly Cited
2009
In this paper, we present novel algorithms for total variation (TV) based blind deconvolution and parameter estimation utilizing… (More)
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Highly Cited
2002
Highly Cited
2002
The process of convolution arises frequently in optics,1 and if one of the functions f or g is known, methods such as Weiner… (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
1997
Highly Cited
1997
Multichannel deconvolution and equalization is an important task for numerous applications in communications, signal processing… (More)
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Highly Cited
1996
Highly Cited
1996
A blind deconvolution algorithm based on the Richardson–Lucy deconvolution algorithm is presented. Its performance 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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