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Edge-Oriented Spatial Interpolation for Error Concealment of Consecutive Blocks

机译:连续块误差掩盖的面向边缘的空间插值

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摘要

This paper proposes a low-complexity spatial-domain error concealment (EC) algorithm for recovering consecutive blocks error in still images or intra-coded (I) frames of video sequences. The proposed algorithm works with the following steps. Firstly the Sobel operator is performed on the top and bottom adjacent pixels to detect the most probable edge direction of current block area. After that one-dimensional (1-D) matching is used on the available block boundaries. Displacement between edge direction candidate and most probable edge direction is taken into consideration as an important factor to improve stability of 1-D boundary matching. Then the corrupted pixels are recovered by linear weighting interpolation along the estimated edge direction. Finally the interpolated values are merged to get last recovered picture. Simulation results demonstrate that the proposed algorithms obtain good subjective quality and higher PSNR than the methods in literatures for most images.
机译:本文提出了一种低复杂度的空间域错误隐藏(EC)算法,用于恢复视频序列的静态图像或帧内编码(I)帧中的连续块错误。所提出的算法按以下步骤工作。首先,对顶部和底部相邻像素执行Sobel运算符,以检测当前块区域的最可能的边缘方向。之后,在可用块边界上使用一维(1-D)匹配。边缘方向候选者与最可能的边缘方向之间的位移被视为提高一维边界匹配稳定性的重要因素。然后,通过沿估计的边缘方向的线性加权插值来恢复损坏的像素。最后,将内插的值合并以获得最后恢复的图片。仿真结果表明,与大多数文献中的方法相比,所提算法具有较好的主观质量和较高的PSNR。

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