Bi-directional 3D auto-regressive model approach to motion picture restoration
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Most image restoration algorithms will blur edges of moving objects in the vicinity of occluded and uncovered image regions. These artifacts are visually annoying. This paper proposes a new bi-directional 3D auto-regressive model which is able to suppress mixed noise processes and recover lost signals in both the covered and uncovered regions in an image sequence. The performance of this algorithm is shown to be superior to the existing 3D AR model.
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