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» General Adaptive Neighborhood Image Processing:
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88
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MICCAI
2009
Springer
15 years 10 months ago
Functional Segmentation of fMRI Data Using Adaptive Non-negative Sparse PCA (ANSPCA)
We propose a novel method for functional segmentation of fMRI data that incorporates multiple functional attributes such as activation effects and functional connectivity, under a ...
Bernard Ng, Rafeef Abugharbieh, Martin J. McKeow...
71
Voted
DAGM
2010
Springer
14 years 10 months ago
Local Regression Based Statistical Model Fitting
Fitting statistical models is a widely employed technique for the segmentation of medical images. While this approach gives impressive results for simple structures, shape models a...
Matthias Amberg, Marcel Lüthi, Thomas Vetter
TIP
2008
213views more  TIP 2008»
14 years 8 months ago
Deblurring Using Regularized Locally Adaptive Kernel Regression
Kernel regression is an effective tool for a variety of image processing tasks such as denoising and interpolation [1]. In this paper, we extend the use of kernel regression for de...
Hiroyuki Takeda, Sina Farsiu, Peyman Milanfar
66
Voted
ICIP
2005
IEEE
15 years 11 months ago
An adaptive linear system framework for image distortion analysis
We describe a framework for decomposing the distortion between two images into a linear combination of components. Unlike conventional linear bases such as those in Fourier or wav...
Zhou Wang, Eero P. Simoncelli
SIGGRAPH
1998
ACM
15 years 1 months ago
A Perceptually Based Adaptive Sampling Algorithm
A perceptually based approach for selecting image samples has been developed. An existing image processing vision model has been extended to handle color and has been simplified ...
Mark R. Bolin, Gary W. Meyer