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» Bayesian Restoration of Noisy Images with the EM Algorithm
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ISCAS
2005
IEEE
142views Hardware» more  ISCAS 2005»
14 years 2 months ago
Multichannel SVD-based image de-noising
: - In this paper, we propose a multichannel SVD-based image de-noising algorithm. The IntDCT is employed to decorrelate the image into sixteen subbands. The SVD is then applied to...
Yodchanan Wongsawat, K. R. Rao, Soontorn Oraintara
ISBI
2008
IEEE
14 years 9 months ago
A mathematical framework for incorporating anatomical knowledge in DT-MRI analysis
We propose a Bayesian approach to incorporate anatomical information in the clustering of fiber trajectories. An expectationmaximization (EM) algorithm is used to cluster the traj...
Carl-Fredrik Westin, Lilla Zöllei, Mahnaz Mad...
JMIV
2002
74views more  JMIV 2002»
13 years 8 months ago
A Filter To Remove Gaussian Noise by Clustering the Gray Scale
An algorithm to suppress Gaussian noise is presented, based on clustering (grouping) gray levels. The histogram of a window sliding across the image is divided into clusters, and t...
Zakaria Atae-Allah, José-Martínez Ar...
ICPR
2008
IEEE
14 years 2 months ago
Adaptive semantic Bayesian framework for image attention
Image attention is the basic technique for many computer vision applications. In this paper, we propose an adaptive Bayesian framework to detect the image attention in color image...
Wei Zhang, Q. M. Jonathan Wu, Guanghui Wang
ICDAR
2011
IEEE
12 years 8 months ago
Super-Resolved Binarization of Text Based on the FAIR Algorithm
—In this paper, we present a novel approach for super-resolved binarization of document images acquired by low quality devices. The algorithm tries to compute the super resolutio...
Thibault Lelore, Frédéric Bouchara