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» Bayesian Restoration of Noisy Images with the EM Algorithm
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ICIP
1997
IEEE
10 years 5 months ago
Bayesian Restoration of Noisy Images with the EM Algorithm
Mohammed Saeed, Hamid R. Rabiee, William Clement K...
ICIP
2003
IEEE
10 years 5 months ago
EM-based simultaneous registration, restoration, and interpolation of super-resolved images
We present a maximum likelihood (Ml) solution to the problem of obtaining high-resolution images from sequences of noisy, blurred, and low-resolution images. In our formulation, t...
Nathan A. Woods, Nikolas P. Galatsanos, Aggelos K....
ICIP
2002
IEEE
10 years 5 months ago
Image restoration under wavelet-domain priors: an expectation-maximization approach
This paper describes an expectation-maximization (EM) algorithm for wavelet-based image restoration (deconvolution). The observed image is assumed to be a convolved (e.g., blurred...
Robert D. Nowak, Mário A. T. Figueiredo
ICIP
2002
IEEE
10 years 5 months ago
Satellite and aerial image deconvolution using an EM method with complex wavelets
In this paper, we present a new deconvolution method, able to deal with noninvertible blurring functions. To avoid noise amplification, a prior model of the image to be reconstruc...
André Jalobeanu, Josiane Zerubia, Má...
ICIP
2009
IEEE
10 years 4 months ago
Joint Recovery And Segmentation Of Polarimetric Images Using A Compound Mrf And Mixture Modeling
We propose a new approach for the restoration of polarimetric Stokes images, capable of simultaneously segmenting and restoring the images. In order to easily handle the admissibi...
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