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2001
IEEE

Bayesian high-resolution reconstruction of low-resolution compressed video

12 years 1 months ago
Bayesian high-resolution reconstruction of low-resolution compressed video
A method for simultaneously estimating the high-resolution frames and the corresponding motion field from a compressed low-resolution video sequence is presented. The algorithm incorporates knowledge of the spatio-temporal correlation between low and high-resolution images to estimate the original high-resolution sequence from the degraded low-resolution observation. Information from the encoder is also exploited, including the transmitted motion vectors, quantization tables, coding modes and quantizer scale factors. Simulations illustrate an improvement in the peak signal-to-noise ratio when compared with traditional interpolation techniques and are corroborated with visual results.
Rafael Molina, Aggelos K. Katsaggelos, Javier Mate
Added 25 Oct 2009
Updated 27 Oct 2009
Type Conference
Year 2001
Where ICIP
Authors Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos, C. Andrew Segall
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