基于多重描述编码和LIoyd-max量化的错误隐藏

A. Farzamnia, S. Syed-Yusof, N. Fisal
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引用次数: 4

摘要

多描述编码(multi - Description Coding, MDC)被越来越多地用于非理想信道的错误隐藏。本文试图将MDC和LIoyd-max量化器相结合来隐藏错误并重建丢失的描述。首先将原始图像降采样为4个子图像,然后通过小波变换将每个子图像映射到变换域,然后用LIoyd-max对描述进行量化并编码。由于该方法采用了小波变换,与DCT变换相比,不会产生阻塞效应。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)在0.625 bpp(比特每像素)中从240降至152,在1 bpp中从161降至107,在率失真性能中从96降至73。因此,该方法适用于低容量信道。在失去描述的情况下,与DCT和MDSQ(多重描述标量量化)方法相比,获得的图像质量仍然很好(主观评价和PSNR值)。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Error concealment using multiple description coding and LIoyd-max quantization
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).
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