IEEE Trans Image Process - Maximum a posteriori video super-resolution using a new multichannel image prior.

Tópicos

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Resumo

Super-resolution (SR) is the term used to define the process of estimating a high-resolution (HR) image or a set of HR images from a set of low-resolution (LR) observations. In this paper we propose a class of SR algorithms based on the maximum a posteriori (MAP) framework. These algorithms utilize a new multichannel image prior model, along with the state-of-the-art single channel image prior and observation models. A hierarchical (two-level) Gaussian nonstationary version of the multichannel prior is also defined and utilized within the same framework. Numerical experiments comparing the proposed algorithms among themselves and with other algorithms in the literature, demonstrate the advantages of the adopted multichannel approach.

Resumo Limpo

superresolut sr term use defin process estim highresolut hr imag set hr imag set lowresolut lr observ paper propos class sr algorithm base maximum posteriori map framework algorithm util new multichannel imag prior model along stateoftheart singl channel imag prior observ model hierarch twolevel gaussian nonstationari version multichannel prior also defin util within framework numer experi compar propos algorithm among algorithm literatur demonstr advantag adopt multichannel approach

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