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JEI
2008
100views more  JEI 2008»
15 years 5 months ago
Context adaptive image denoising through modeling of curvelet domain statistics
We perform a statistical analysis of curvelet coefficients, distinguishing between two classes of coefficients: those that contain a significant noise-free component, which we call...
Linda Tessens, Aleksandra Pizurica, Alin Alecu, Ad...
SIBGRAPI
2006
IEEE
15 years 11 months ago
Increasing statistical power in medical image analysis
In this paper, we present a novel method for estimating the effective number of independent variables in imaging applications that require multiple hypothesis testing. The method ...
Alexei Manso Correa Machado
CAIP
2009
Springer
209views Image Analysis» more  CAIP 2009»
15 years 10 months ago
Total Variation Processing of Images with Poisson Statistics
This paper deals with denoising of density images with bad Poisson statistics (low count rates), where the reconstruction of the major structures seems the only reasonable task. Ob...
Alex Sawatzky, Christoph Brune, Jahn Müller, ...
ICPR
2010
IEEE
15 years 5 months ago
A Statistical Learning Approach to Spatial Context Exploitation for Semantic Image Analysis
In this paper, a statistical learning approach to spatial context exploitation for semantic image analysis is presented. The proposed method constitutes an extension of the key pa...
Georgios Th. Papadopoulos, Vasileios Mezaris, Ioan...
ICASSP
2011
IEEE
14 years 9 months ago
Denoising of image patches via sparse representations with learned statistical dependencies
We address the problem of denoising for image patches. The approach taken is based on Bayesian modeling of sparse representations, which takes into account dependencies between th...
Tomer Faktor, Yonina C. Eldar, Michael Elad