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Adaptive error concealment in SNR scalable system

机译:SNR可扩展系统中的自适应错误隐藏

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Abstract: In this paper, we propose an adaptive error concealment method for enhancement layer, which is quantized with a fixed step size, in SNR scalable system. The proposed method consists of two steps. First, we partition the impaired image area into the Not-Coded macroblocks and the Coded macroblocks according to the quantization step sizes of both layers. Since the step sizes of base layer are transmitted through guaranteed channel and the residual data of enhancement layer are quantized with a fixed step size, the decoder can always receive the quantization step sizes of both layers. Second, we choose the best concealment method among spatial-domain and temporal-domain error concealments for the Not-Coded macroblock. For this selection, neighborhood matching is used. Experimental results show that the proposed concealment method gives about 8% improvement in PSNR over the conventional one using base layer.!9
机译:摘要:在本文中,我们提出了一种用于增强层的自适应误差隐藏方法,其在SNR可伸缩系统中具有固定步长量化。所提出的方法包括两个步骤。首先,我们根据两层的量化步长尺寸将受损的图像区域分区到未编码的宏块和编码宏块中。由于基础层的步长通过保证信道发送并且通过固定步长量化增强层的剩余数据,因此解码器可以始终接收两层的量化步长。其次,我们选择用于未编码宏块的空间域和时间域错误隐藏中的最佳隐藏方法。对于此选择,使用邻域匹配。实验结果表明,所提出的隐藏方法在常规底层上给出了PSNR的提高约8%。!9

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