Multichannel regularized recovery of compressed video sequences
Mun Gi Choi; Yongyi Yang; Galatsanos, N.P.
Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on
Volume 48, Issue 4, Apr 2001 Page(s):376 - 387
Digital Object Identifier 10.1109/82.933797
Summary:In this paper, we propose a multichannel regularized recovery
approach to ameliorate coding artifacts in compressed video. The major
advantage of the proposed approach is that both temporal and spatial
correlations in a video sequence can be exploited to complement the
compressed video data. In particular a temporal regularization term is
introduced to enforce smoothness along the motion trajectories defined
by the transmitted motion vectors for motion compensation. Several forms
of temporal regularization with different computational complexity are
considered. Based on the proposed approach, recovered images are
obtained from the compressed data using the well-known
gradient-projection algorithm. Moreover, an iterative algorithm is
proposed for the determination of regularization parameters at the coder
side. A number of numerical experiments using several H.261 and H.263
compressed streams are presented to evaluate the performance of the
proposed recovery algorithms. Results from these experiments demonstrate
that the use of temporal regularization ran yield significant
improvement in the quality of the recovered images-in terms of both
visual evaluation and objective peak-signal-to-noise (PSNR)
measure
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