Novel Bayesian methods for video super-resolution based on heavy-tailed statistical models
In this thesis, we firstly introduce the application of the Generalized Gaussian Markov Random Field (GGMRF) to the problem of video super-resolution. The GGMRF prior is employed to perform a maximum a posteriori (MAP) estimation of the desired high-resolution image. Compared with traditional prior...
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University of Bristol
2014
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| Online Access: | http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.680379 |