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Error concealment by means of motion refinement and regularized Bregman divergence
This work addresses the problem of error concealment in video transmission systems over noisy channels employing Bregman divergences along with regularization.
Estimating motion with principal component regression strategies
In this paper, two simple principal component regression methods for estimating the optical flow between frames of video sequences according to a pel-recursive manner are introduced.
Blind signal separation and identification of mixtures of images
In this paper, a fresh procedure to handle image mixtures by means of blind signal separation relying on a combination of second order and higher order statistics techniques are introduced.
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