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» Bayesian Restoration of Noisy Images with the EM Algorithm
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ICIP
1997
IEEE
14 years 11 months ago
Bayesian Restoration of Noisy Images with the EM Algorithm
Mohammed Saeed, Hamid R. Rabiee, William Clement K...
ICIP
2003
IEEE
14 years 11 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
14 years 11 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
14 years 11 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
14 years 10 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...