Results 171 to 180 of about 25,670 (189)

Projection-based blind deconvolution

Journal of the Optical Society of America A, 1994
We present a new projection-based algorithm for solving the classical blind-deconvolution problem. In our approach all known a priori information about both the unknown source and the blurring functions is expressed through constraint sets. In computer simulations the algorithm performed well even when the prior information was not accurate. To see how
Yongyi Yang, Nikolas P. Galatsanos, Henry Stark   +2 more
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Blind deconvolution under band limitation

Optics Letters, 2003
A blind deconvolution problem is newly stated with the following conditions: the point-spread function is band limited, both the object and the point-spread function are nonnegative, and the solution is to be a diffraction-limited object. A blind deconvolution method was developed that can easily be applied to problems in optics because of the ...
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Blind Deconvolution

Digital Signal Processing, 1995
J.A. Cadzow, X.K. Li
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Sparsity-Based Blind Deconvolution

2014
In the previous chapters our focus was on overcoming the tendency of joint MAP estimator to give trivial solutions by choosing an appropriate PSF regularizer and the regularization factor, and the convergence analysis of the resulting optimization problem.
Subhasis Chaudhuri, Rajbabu Velmurugan, Renu Rameshan   +2 more
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Iteratively reweighted blind deconvolution

2013 IEEE International Conference on Image Processing, 2013
Traditional blind deconvolution techniques rely on a statistical model that relates the measured data to the pristine scene whose reconstruction is sought. If the data is not consistent with this forward model, then the reconstruction is badly degraded.
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Blind deconvolution and phase retrieval

1988
Theoretical and practical aspects of identifying and deconvolving a convolution in more than one-dimension are presented. In contrast to conventional techniques which require knowledge of the blurring function, this thesis describes techniques for "blind" deconvolution.
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Blind Deblurring and Deconvolution

Signal Recovery and Synthesis, 1995
Many imaging systems in use today acquire data that are related to a desired object function f(·) through the linear relationship where h(·,·; θ) is the point-spread function for the imaging system, and θ is a collection of system parameters – some or all of which may be unknown – that characterize the system and, hence, its point-spread function.
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Blind Signal Separation and Blind Deconvolution

2001
This chapter introduces basic concepts, criteria, and algorithms for Blind signal separation (BSS) and blind deconvolution and explores relationships between the BSS and blind deconvolution tasks. The chapter considers open issues and challenges within these related fields. BSS is sometimes used interchangeably with independent component analysis (ICA),
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Blind Deconvolution

2014
Tom Bishop, Paolo Favaro
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Blind Deconvolution

2006
Timothy J. Holmes, David Biggs, Asad Abu-Tarif   +2 more
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