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» Multiscale geometric image processing
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ICIP
2000
IEEE
14 years 11 months ago
Motion Estimation Using Adaptive Blocksize Observation Model and Efficient Multiscale Regularization
Bayesian motion estimation requires two pdf models: observation model and motion field (prior) model. The optimization process for this method uses sequential approach, e.g. simul...
Stephanus Suryadarma Tandjung, Teddy Surya Gunawan...
CVPR
2009
IEEE
15 years 5 months ago
Multiphase Geometric Couplings for the Segmentation of Neural Processes
The ability to constrain the geometry of deformable models for image segmentation can be useful when information about the expected shape or positioning of the objects in a scene i...
Amelio Vázquez Reina, Eric Miller, Hanspete...
DAGM
1998
Springer
14 years 2 months ago
Discrete Mixture Models for Unsupervised Image Segmentation
This paper introduces a novel statistical mixture model for probabilistic clustering of histogram data and, more generally, for the analysis of discrete co occurrence data. Adoptin...
Jan Puzicha, Joachim M. Buhmann, Thomas Hofmann
ICIP
2008
IEEE
14 years 4 months ago
Sub-band decomposed multiscale retinex with space varying gain
In this paper, we propose a novel image enhancement algorithm by improving the standard multiscale retinex (MSR) algorithm. A modified retinex output using a combination of two lo...
Jae Ho Jang, Boorym Choi, Sung Deuk Kim, Jong Beom...
TOG
2008
178views more  TOG 2008»
13 years 10 months ago
Edge-preserving decompositions for multi-scale tone and detail manipulation
Many recent computational photography techniques decompose an image into a piecewise smooth base layer, containing large scale variations in intensity, and a residual detail layer...
Zeev Farbman, Raanan Fattal, Dani Lischinski, Rich...