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Second-order derivative-based smoothness measure for errorconcealment in DCT-based codecs

机译:基于二阶导数的平滑度度量,用于基于DCT的编解码器中的错误隐藏

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摘要

We study the recovery of lost or erroneous transform coefficients in image and video communication systems employing discrete cosine transform (DCT)-based codecs. Previously, we have developed a technique that exploits the smoothness property of image signals and recovers the damaged blocks by maximizing a smoothness measure. There, the first-order derivative was used as the smoothness measure, which can lead to the blurring of sharp edges. In order to alleviate this problem, we propose to use second-order derivatives as the smoothness measure. Our simulation results show that a weighted combination of the quadratic variation and the Laplacian operator can significantly reduce the blurring across the edges while enforcing smoothness along the edges
机译:我们研究使用基于离散余弦变换(DCT)的编解码器的图像和视频通信系统中丢失或错误的变换系数的恢复。以前,我们已经开发了一种利用图像信号的平滑性并通过最大化平滑度来恢复损坏块的技术。在那里,一阶导数用作平滑度度量,这会导致锐利边缘的模糊。为了缓解此问题,我们建议使用二阶导数作为平滑度度量。我们的仿真结果表明,二次方差和拉普拉斯算子的加权组合可以显着减少边缘的模糊,同时增强沿边缘的平滑度

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