Bayesian combination of sparse and non-sparse priors in image super resolution

S. Villena; Miguel Vega; S. Derin Babacan; Rafael Molina; Aggelos K. Katsaggelos

doi:10.1016/j.dsp.2012.10.002

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Bayesian combination of sparse and non-sparse priors in image super resolution

S. Villena Miguel Vega S. Derin Babacan Rafael Molina Aggelos K. Katsaggelos

Year: 2012 Journal: Digital Signal Processing Vol: 23 (2)Pages: 530-541 Publisher: Elsevier BV

DOI: 10.1016/j.dsp.2012.10.002

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Keywords:

Prior probability Bayesian probability Mathematics Image (mathematics) Divergence (linguistics) Norm (philosophy) Posterior probability Artificial intelligence Computer science Algorithm Pattern recognition (psychology)

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Topics

Advanced Image Processing Techniques

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Sparse and Compressive Sensing Techniques

Physical Sciences → Engineering → Computational Mechanics

Image and Signal Denoising Methods

Physical Sciences → Computer Science → Computer Vision and Pattern Recognition

Bayesian combination of sparse and non-sparse priors in image super resolution

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Citation History

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