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A NOVEL TEMPORAL ERROR CONCEALMENT ALGORITHM BASED ON RESIDUAL ESTIMATION

机译:基于残差估计的新型时间误差掩盖算法

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The temporal error concealment is an important post processing technique to combat transmission errors for video communication, which is usually achieved by motion vector estimation and temporal replacement using temporal correlation existing in video data. However, the quality of concealed video is not satisfactional due to missing residual data lost in transmission. In this paper, a novel temporal error concealment algorithm based on residual estimation is proposed. The motion compensated temporal concealment is used to recover the most damaged macroblock firstly. Then the residual is estimated by the boundary residual of current macroblock and predictive macroblock. Lastly the estimated residual is added to the restored macroblock to achieve more accurate video quality. Experimental results show that it significantly outperforms other existing temporal error concealment algorithm and can efficiently improve the video quality by 2 to 5 dB PSNR in average.
机译:暂时性的错误隐藏是一种重要的后处理技术,可解决视频通信的传输错误,通常通过运动矢量估计和使用存在于视频数据中的时间相关性进行暂时性替换来实现。然而,由于丢失了在传输中丢失的剩余数据,隐藏视频的质量不能令人满意。提出了一种新的基于残差估计的时间误差掩盖算法。运动补偿的时间隐藏首先用于恢复受损最大的宏块。然后通过当前宏块和预测宏块的边界残差来估计残差。最后,将估计的残差添加到恢复的宏块中,以实现更准确的视频质量。实验结果表明,该算法明显优于其他现有的时间错误隐藏算法,并且可以有效地将视频质量平均提高2至5 dB PSNR。

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