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A Temporal Error Concealment Method Based on Edge Adaptive Masking  

Kim Yong-Woo (Chung-Ang University)
Lim Chan (Chung-Ang University)
Kang Hyun-Soo (ChungBuk University)
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Abstract
In this paper, we propose a temporal error concealment method based on the edge adaptive masking. In the method, four regions around the corrupted block - top, bottom, left, and right - are defined and the edge features of the regions are extracted by applying an edge operator for each direction. The size of a mask for the boundary matching is determined by the edge information, which can be considered as a criterion to measure the activity of the boundary region. In other words, it is determined such that the size of the mask is proportional to the amount of edge-component extracted from each region in order to yield the higher reliability on boundary matching. This process is equivalent to applying weights depending on the edge features, which leads the improved motion vector. In experiments, it is verified that the proposed method outperforms the conventional methods in terms of image quality, and then its merits and demerits are discussed.
Keywords
Error concealment; Edge Detection; Boundary Matching Algorithm;
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