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» Computationally efficient regularized acoustic imaging
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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
TMI
2010
298views more  TMI 2010»
13 years 3 days ago
An Efficient Numerical Method for General Lp Regularization in Fluorescence Molecular Tomography
Abstract--Reconstruction algorithms for fluorescence tomography have to address two crucial issues : (i) the ill-posedness of the reconstruction problem, (ii) the large scale of nu...
Jean-Charles Baritaux, Kai Hassler, Michael Unser
ICAD
2004
13 years 6 months ago
Decoupled Loudness and Range Control for a Source Located Within a Small Virtual Acoustic Environment
For headphone-based spatial auditory display systems, binaural synthesis of sound localization cues typically use source reproduction level as the primary control for source range...
William L. Martens
ACIVS
2007
Springer
13 years 9 months ago
A Multi-agent Approach for Range Image Segmentation with Bayesian Edge Regularization
Abstract. We present and evaluate in this paper a multi-agent approach for range image segmentation. The approach consists in using autonomous agents for the segmentation of a rang...
Smaine Mazouzi, Zahia Guessoum, Fabien Michel, Moh...
ECCV
2002
Springer
14 years 7 months ago
Adaptive Rest Condition Potentials: Second Order Edge-Preserving Regularization
Abstract. The propose of this paper is to introduce a new regularization formulation for inverse problems in computer vision and image processing that allows one to reconstruct sec...
José L. Marroquín, Mariano Rivera