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» General Adaptive Neighborhood Image Processing:
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JMIV
2006
128views more  JMIV 2006»
13 years 4 months ago
General Adaptive Neighborhood Image Processing:
The so-called General Adaptive Neighborhood Image Processing (GANIP) approach is presented in a two parts paper dealing respectively with its theoretical and practical aspects. The...
Johan Debayle, Jean-Charles Pinoli
ICIP
2008
IEEE
14 years 6 months ago
Multiresolutional regularization of local linear regression over adaptive neighborhoods for color management
A multiresolutional regularization method is proposed for local linear regression that regularizes local mean squared-error by the mean squared-error of a larger neighborhood. The...
Nasiha Hrustemovic, Maya R. Gupta
ICIP
2008
IEEE
14 years 6 months ago
A supervised nonlinear neighborhood embedding of color histogram for image indexing
Subspace learning techniques are widespread in pattern recognition research. They include PCA, ICA, LPP, etc. These techniques are generally linear and unsupervised. The problem o...
Xian-Hua Han, Yen-Wei Chen, Takeshi Sukegawa
TIP
2002
130views more  TIP 2002»
13 years 4 months ago
Forward-and-backward diffusion processes for adaptive image enhancement and denoising
Signal and image enhancement is considered in the context of a new type of diffusion process that simultaneously enhances, sharpens, and denoises images. The nonlinear diffusion co...
Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
DAGM
2006
Springer
13 years 8 months ago
Parameterless Isomap with Adaptive Neighborhood Selection
Abstract. Isomap is a highly popular manifold learning and dimensionality reduction technique that effectively performs multidimensional scaling on estimates of geodesic distances....
Nathan Mekuz, John K. Tsotsos