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» A variational method for Bayesian blind image deconvolution
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ACCV
2006
Springer
14 years 1 months ago
Double Regularized Bayesian Estimation for Blur Identification in Video Sequences
Blind blur identification in video sequences becomes more important. This paper presents a new method for identifying parameters of different blur kernels and image restoration in ...
Hongwei Zheng, Olaf Hellwich
ISBI
2008
IEEE
14 years 10 months ago
Blind deconvolution for diffraction-limited fluorescence microscopy
Optical Sections of biological samples obtained from a fluorescence Confocal Laser Scanning Microscopes (CLSM) are often degraded by out-of-focus blur and photon counting noise. S...
Praveen Pankajakshan, Bo Zhang, Laure Blanc-F&eacu...
CIMAGING
2008
172views Hardware» more  CIMAGING 2008»
13 years 11 months ago
Blind reconstruction of sparse images with unknown point spread function
We consider the image reconstruction problem when the original image is assumed to be sparse and when partial knowledge of the point spread function (PSF) is available. In particu...
Kyle Herrity, Raviv Raich, Alfred O. Hero III
DSP
2007
13 years 9 months ago
Blind separation of nonlinear mixtures by variational Bayesian learning
Blind separation of sources from nonlinear mixtures is a challenging and often ill-posed problem. We present three methods for solving this problem: an improved nonlinear factor a...
Antti Honkela, Harri Valpola, Alexander Ilin, Juha...
ICIP
2002
IEEE
14 years 11 months ago
Satellite and aerial image deconvolution using an EM method with complex wavelets
In this paper, we present a new deconvolution method, able to deal with noninvertible blurring functions. To avoid noise amplification, a prior model of the image to be reconstruc...
André Jalobeanu, Josiane Zerubia, Má...