Reconstruction of high-resolution image frames from a sequence of low-resolution and compressed observations
C.A. Segall, Rafael Molina, Aggelos K. Katsaggelos, Javier Mateos · IEEE International Conference on Acoustics Speech and Signal Processing · 2002
A framework for recovering high-resolution information from a sequence of sub-sampled and compressed observations is presented. Compression schemes that describe a video sequence through a combination of motion vectors and transform coefficients are the focus (e.g. the MPEG and ITU family of standards), and we consider the influence of both the motion vectors and transform coefficients within the reconstruction algorithm. A Bayesian approach is utilized to incorporate the information, and results show a discemable improvement in resolution, as compared to standard interpolation methods.