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» Multiscale geometric image processing
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ICIP
1994
IEEE
14 years 11 months ago
Tomographic Reconstruction Based on Flexible Geometric Models
When dealing with ill-posed inverse problems in data analysis, the Bayesian approach allows one to use prior information to guide the result toward reasonable solutions. In this w...
K. M. Hanson, G. S. Cunningham, G. R. Jennings Jr....
ICDE
2002
IEEE
209views Database» more  ICDE 2002»
14 years 11 months ago
Geometric-Similarity Retrieval in Large Image Bases
We propose a novel approach to shape-based image retrieval that builds upon a similarity criterion which is based on the average point set distance. Compared to traditional techni...
Ioannis Fudos, Leonidas Palios, Evaggelia Pitoura
MICCAI
2003
Springer
14 years 11 months ago
De-noising SPECT/PET Images Using Cross-Scale Regularization
De-noising of SPECT and PET images is a challenging task due to the inherent low signal-to-noise ratio of acquired data. Wavelet based multiscale denoising methods typically apply ...
Yinpeng Jin, Elsa D. Angelini, Peter D. Esser, And...
ICCV
2009
IEEE
15 years 3 months ago
Bayesian selection of scaling laws for motion modeling in images
Based on scaling laws describing the statistical structure of turbulent motion across scales, we propose a multiscale and non-parametric regularizer for optic-flow estimation. R...
Patrick H´eas, Etienne M´emin, Dominique Heitz, ...
CATA
2003
13 years 11 months ago
Implementation and Performance Evaluation of Intel VTUNE Image Processing Functions in the MATLAB Environment
Many current general purpose processors use extensions to the instruction set architecture to enhance the performance of digital image processing and multimedia applications. In t...
Phaisit Chewputtanagul, David Jeff Jackson, Kennet...