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» An Adaptive Variational Model for Image Decomposition
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ACIVS
2009
Springer
15 years 6 months ago
Dynamic Texture Extraction and Video Denoising
According to recent works, introduced by Y.Meyer [1] the decomposition models based on Total Variation (TV) appear as a very good way to extract texture from image sequences. Indee...
Mathieu Lugiez, Michel Ménard, Abdallah El-...
JVCIR
2007
101views more  JVCIR 2007»
14 years 11 months ago
A comparison of three total variation based texture extraction models
This paper qualitatively compares three recently proposed models for signal/image texture extraction based on total variation minimization: the Meyer [27], Vese–Osher (VO) [35],...
Wotao Yin, Donald Goldfarb, Stanley Osher
NIPS
2001
15 years 29 days ago
Transform-invariant Image Decomposition with Similarity Templates
Recent work has shown impressive transform-invariant modeling and clustering for sets of images of objects with similar appearance. We seek to expand these capabilities to sets of...
Chris Stauffer, Erik G. Miller, Kinh Tieu
CVPR
2008
IEEE
16 years 1 months ago
Learning coupled conditional random field for image decomposition with application on object categorization
This paper proposes a computational system of object categorization based on decomposition and adaptive fusion of visual information. A coupled Conditional Random Field is develop...
Xiaoxu Ma, W. Eric L. Grimson
ICIP
2005
IEEE
16 years 1 months ago
Interleaved S+P pyramidal decomposition with refined prediction model
Scalability and others functionalities such as the Region of Interest encoding become essential properties of an efficient image coding scheme. Within the framework of lossless co...
Joseph Ronsin, Marie Babel, Olivier Déforge...