DocumentCode :
379850
Title :
Selective image diffusion: application to disparity estimation
Author :
Mansouri, Abdol-Reza ; Mitiche, Amur ; Konrad, Janusz
Author_Institution :
INRS-Telecommun., Inst. Nat. de la Recherche Sci., Verdun, Que., Canada
fYear :
1998
fDate :
4-7 Oct 1998
Firstpage :
284
Abstract :
Inverse problems encountered in image processing and computer vision are often ill-posed. Whether set in a Bayesian or energy-based context, such problems require prior assumptions expressed through an a priori probability or a regularization term, respectively. In some cases, the prior term exhibits partial dependence on the observations (e.g., images) that is often ignored to simplify modeling and computations. We review methods that take this dependence into account and we propose a new formulation of the prior term that blends some other simple approaches. Similarly to others, we apply a linear transformation to the prior term but, in addition, we require that the eigenvalues of the transformation have specific properties. These properties are chosen so that diffusion is allowed only along the direction perpendicular to the local image gradient. If the gradient magnitude is small, isotropic diffusion is performed. We apply this formulation to stereoscopic disparity estimation and we show several experimental results; improvements over a standard approach are clear
Keywords :
Bayes methods; computer vision; eigenvalues and eigenfunctions; inverse problems; parameter estimation; probability; stereo image processing; Bayesian context; a priori probability; computer vision; eigenvalues; energy-based context; experimental results; gradient magnitude; ill-posed problems; image processing; inverse problems; isotropic diffusion; linear transformation; local image gradient; regularization term; selective image diffusion; stereoscopic disparity estimation; Bayesian methods; Business; Councils; Eigenvalues and eigenfunctions; Image processing; Image reconstruction; Inverse problems; Motion estimation; Parameter estimation; Yield estimation;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Image Processing, 1998. ICIP 98. Proceedings. 1998 International Conference on
Conference_Location :
Chicago, IL
Print_ISBN :
0-8186-8821-1
Type :
conf
DOI :
10.1109/ICIP.1998.999019
Filename :
999019
Link To Document :
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