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» A Bayesian Approach to Image Restoration
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122
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ICIP
2004
IEEE
16 years 3 months ago
Unsupervised motion detection using a markovian temporal model with global spatial constraints
In this work, we propose an unsupervised Bayesian model for the detection of moving objects from dynamic scenes. This unsupervised solution is a three-step approach that uses a st...
Pierre-Marc Jodoin, Max Mignotte
TIP
2002
154views more  TIP 2002»
15 years 1 months ago
Minimizing the total variation under a general convex constraint for image restoration
In this paper, we present a general framework for image restoration; despite its simplicity, certain variational and certain wavelet approaches can be formulated within this framew...
François Malgouyres
119
Voted
MICCAI
2005
Springer
15 years 7 months ago
Adaptive Spatio-Temporal Restoration for 4D Fluorescence Microscopic Imaging
Abstract. We present a spatio-temporal filtering method for significantly increasing the signal-to-noise ratio (SNR) in noisy fluorescence microscopic image sequences where smal...
Jérôme Boulanger, Charles Kervrann, P...
86
Voted
ICIP
2009
IEEE
16 years 2 months ago
Multiframe Image Restoration In The Presence Of Noisy Blur Kernel
We wish to recover an original image u from several blurry-noisy versions fk, called frames. We assume a more severe degradation model, in which the image u has been blurred by a ...
115
Voted
ICIP
1995
IEEE
15 years 5 months ago
Multi-channel restoration of electron micrographs
We introduce a projection based multi-channel restoration method which is useful in cases for which there is no a priori information about the input signal. The method is especial...
M. Vrhel, B. L. Trus