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Maximum a posteriori super-resolution of compressed video using a new multichannel image prior | IEEE Conference Publication | IEEE Xplore

Maximum a posteriori super-resolution of compressed video using a new multichannel image prior


Abstract:

Super-resolution (SR) algorithms for compressed video aim at recovering high-frequency information and estimating a high-resolution (HR) image or a set of HR images from ...Show More

Abstract:

Super-resolution (SR) algorithms for compressed video aim at recovering high-frequency information and estimating a high-resolution (HR) image or a set of HR images from a sequence of low-resolution (LR) video frames. In this paper we present a novel SR algorithm for compressed video based on the maximum a posteriori (MAP) framework. We utilize a new multichannel image prior model, along with the state-of-the art image prior and observation models. Moreover, relationship between model parameters and the decoded bitstream are established. Numerical experiments demonstrate the improved performance of the proposed method compared to existing algorithms for different compression ratios.
Date of Conference: 07-10 November 2009
Date Added to IEEE Xplore: 17 February 2010
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ISSN Information:

Conference Location: Cairo, Egypt

References

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