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Maximum a Posteriori Video Super-Resolution Using a New Multichannel Image Prior | IEEE Journals & Magazine | IEEE Xplore

Maximum a Posteriori Video Super-Resolution Using a New Multichannel Image Prior


Abstract:

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) observati...Show More

Abstract:

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.
Published in: IEEE Transactions on Image Processing ( Volume: 19, Issue: 6, June 2010)
Page(s): 1451 - 1464
Date of Publication: 02 February 2010

ISSN Information:

PubMed ID: 20129860

References

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