Bayesian image enlargement for mixed-resolution video

Many scalable video compression techniques utilize a mixed-resolution scheme, which down-samples some frames at the encoder to be reduced-resolution frames while keeping resolutions of other frames unchanged as full resolutions, in order to achieve higher compression gain. Image enlargement technique is required at the decoder to recover the original full-resolution frames for this mixed-resolution video system setup. This paper proposes a Bayesian approach to enlarge the reduced-resolution frame via its maximum a posterior estimation, using the information from the observed reduced-resolution frame, plus more detailed information extracted from available neighboring frames in full resolution. Experiments are conducted to demonstrate the superior performance of the proposed approach.