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We propose a unified deblocking/error-concealment algorithm for simultaneously alleviating blockiness and restoring lost blocks. Blockiness and block loss are two of the most frequently encountered artifacts for block-DCT based visual signal coding and transmission. The problem of error-concealment and deblocking is formulated as block-wise expectation estimation processes conditioned on available...
Computational visual attention models have facilitated various aspects of the evolution in visual communication systems. In this paper, we apply the proposed computational model for scalable visual sensitivity profile (SVSP) to image/video processing. SVSP generates a hierarchy of saliency maps that simulate the bottom-up and top-down attention of the human visual system (HVS). It can detect the most...
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