Regularized multichannel recovery of compressed video

In this study we propose a multichannel recovery approach to ameliorating artifacts in compressed video. According to this approach, regularization operators are defined to capture both spatial and temporal correlation properties in an image sequence. In particular a regularization operator is defined explicitly to enforce smoothness along the motion trajectories. In addition, a new approach is proposed for the determination of regularization parameters in the recovery algorithm utilizing the original image in the coder, unlike in traditional image restoration where they have to be estimated from the already degraded image data