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» Image quantization under spatial smoothness constraints
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ICIP
1995
IEEE
14 years 8 months ago
On morphological openings and closings of signals in shaped noise
In recent work, we have shown that morphological openings and closings can be viewed as consistent MAP estimators of morphologically smooth binary image signals immersed in i.i.d....
Nikolaos Sidiropoulos, John S. Baras, Carlos Alber...
ICPR
2000
IEEE
13 years 11 months ago
Estimating Fluid Optical Flow
In this paper, we address the problem of fluid motion estimation in image sequences. For such motions, standard optical flow methods, based on intensity conservation and spatial...
Thomas Corpetti, Étienne Mémin, Patr...
ICMLA
2009
13 years 5 months ago
Exploring Scale-Induced Feature Hierarchies in Natural Images
Recently there has been considerable interest in topic models based on the bag-of-features representation of images. The strong independence assumption inherent in the bag-of-feat...
Jukka Perkiö, Tinne Tuytelaars, Wray L. Bunti...
ICIP
2002
IEEE
14 years 9 months ago
A recursive shape error concealment algorithm
The encoding of shape information is a distinguishing feature of MPEG-4. In error prone communication networks, it is important and efficient to conceal shape errors spatially, so...
Guido M. Schuster, Xiaohuan Li, Aggelos K. Katsagg...
ICIP
2005
IEEE
14 years 9 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