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IBPRIA
2007
Springer
13 years 11 months ago
Blind Estimation of Motion Blur Parameters for Image Deconvolution
Abstract. This paper describes an approach to estimate the parameters of a motion blur (direction and length) directly form the observed image. The motion blur estimate can then be...
João P. Oliveira, Mário A. T. Figuei...
IJON
2002
98views more  IJON 2002»
13 years 5 months ago
Blind deconvolution by simple adaptive activation function neuron
The `Bussgang' algorithm is one among the most known blind deconvolution techniques in the adaptive signal processing literature. It relies on a Bayesian estimator of the sou...
Simone Fiori
ISBI
2008
IEEE
14 years 6 months ago
An accurate PSF model with few parameters for axially shift-variant deconvolution
Accurate knowledge of an imaging system's point spread function (PSF) is crucial for successful deconvolution. For fluorescence microscopy, PSF estimations based on either th...
François Aguet, Dimitri Van De Ville, Micha...
ICCSA
2009
Springer
14 years 4 days ago
Parameter-Less GA Based Crop Parameter Assimilation with Satellite Image
Crop Assimilation Model (CAM) predicts the parameters of agrohydrological models with satellite images. CAM with double layers GA called CAM-DLGA, uses Soil-Water-Atmosphere-Plant ...
Shamim Akhter, Keigo Sakamoto, Yann Chemin, Kento ...
ICIP
2005
IEEE
14 years 7 months ago
An adaptive segmentation-based regularization term for image restoration
This paper proposes an original inhomogeneous restoration (deconvolution) model under the Bayesian framework. In this model, regularization is achieved, during the iterative resto...
Max Mignotte