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Error concealment using multiple description coding and LIoyd-max quantization

机译:使用多描述编码和LIoyd-max量化进行错误隐藏

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摘要

There has been increasing usage of Multiple Description Coding (MDC) for error concealment in non ideal channels. This paper attempts to conceal the error and reconstruct the lost descriptions by combining MDC and LIoyd-max quantizer. At first original image downsampled to four subimages then by using wavelet transform each subimage is mapped to transform domain then descriptions are quantized by LIoyd-max and coded. Since in proposed method wavelet transform is been used, there could be no blocking effect as compared to DCT transform. The results show that average MSE (mean square error) for our proposed method in comparison with DCT method (in other paper) has decreased from 240 to 152 in 0.625 bpp (bit per pixel), from 161 to 107 in 1 bpp and from 96 to 73 in 2 bpp in rate-distortion performance. Therefore, this method is suitable for low capacity channels. By losing descriptions, the obtained image is still in good quality (subjective evaluation and PSNR values) as compared to a method which is DCT and MDSQ (multiple description scalar quantization).
机译:在非理想信道中,为了掩盖错误,越来越多地使用多描述编码(MDC)。本文试图通过结合MDC和LIoyd-max量化器来掩盖错误并重建丢失的描述。首先,将原始图像降采样为四个子图像,然后使用小波变换将每个子图像映射到变换域,然后通过LIoyd-max对描述进行量化并进行编码。由于在所提出的方法中使用了小波变换,因此与DCT变换相比,不会有阻塞效应。结果表明,与DCT方法(在其他论文中)相比,我们提出的方法的平均MSE(均方误差)从240降到152在0.625 bpp(每像素位)中从161降到107在1 bpp和96中到73 in 2 bpp的速率失真性能。因此,此方法适用于低容量信道。与DCT和MDSQ(多描述标量量化)方法相比,由于丢失描述,所获得的图像仍具有良好的质量(主观评估和PSNR值)。

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