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2003
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EM-based simultaneous registration, restoration, and interpolation of super-resolved images

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, the registration parameters of the low-resolution images, the degrading blur, and noise varianceare unknown. Our algorithm has the advantage that all unknownparameters are obtained simultaneously using all of the available data. An efficient implementation is presented in the j-equency domain, based on the Expectation Maximization (EM algorithm. Simulations demonstrate the eflectiseness of the algorithm.
Nathan A. Woods, Nikolas P. Galatsanos, Aggelos K.
Added 24 Oct 2009
Updated 24 Oct 2009
Type Conference
Year 2003
Where ICIP
Authors Nathan A. Woods, Nikolas P. Galatsanos, Aggelos K. Katsaggelos
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