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CIMCA
2005
IEEE
16 years 1 months ago
Statistical Learning Procedure in Loopy Belief Propagation for Probabilistic Image Processing
We give a fast and practical algorithm for statistical learning hyperparameters from observable data in probabilistic image processing, which is based on Gaussian graphical model ...
Kazuyuki Tanaka
ICPPW
2003
IEEE
16 years 27 days ago
Parallelization of Cellular Neural Networks for Image Processing on Cluster Architectures
In this paper a simple but effective approach for parallelization of cellular neural networks for image processing is developed. Digital gray-scale images were used to evaluate th...
Thomas Weishäupl, Erich Schikuta
CODES
2006
IEEE
16 years 1 months ago
The pipeline decomposition tree: : an analysis tool for multiprocessor implementation of image processing applications
Modern embedded systems for image processing involve increasingly complex levels of functionality under real-time and resourcerelated constraints. As this complexity increases, th...
Dong-Ik Ko, Shuvra S. Bhattacharyya
ACIVS
2005
Springer
16 years 1 months ago
Designing Area and Performance Constrained SIMD/VLIW Image Processing Architectures
Abstract. Image processing is widely used in many applications, including medical imaging, industrial manufacturing and security systems. In these applications, the size of the ima...
Hamed Fatemi, Henk Corporaal, Twan Basten, Richard...
ICASSP
2007
IEEE
15 years 11 months ago
Array Processing Approach for Object Segmentation in Images
Thanks to a specific formalism for signal generation, it is possible to transpose an image processing problem to an array processing problem. For straight line characterization, t...
Julien Marot, Salah Bourennane, Mouloud Adel