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X-Tree based Unequal Loss Protected packetized coding

机译:基于X树的不等损保护打包编码

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摘要

A novel Multiple Description Coding method, named Packeted Multiple Description Coding (PMDC) is presented in this paper. First, we separate the wavelet transformed image into several sub-images and code each sub-image by a method called Unequal Loss Protected Multiple Description Subband Coding (ULPMDC). With this algorithm, we can first form two sub-descriptions, which contain packets from the image, and then we transmit them by two different channels. If no more than one sub-description per sub-image is lost, the proposed algorithm will get very good reconstruction quality. If more sub-descriptions per sub-image are lost, the reconstruction quality is severely degraded. To provide better quality of the reconstructed image, we then modify the packetizing process, and propose a novel packetized MDC framework, named Cross Packetized Multiple Description Coding (CPMDC). In this method, instead of applying ULPMDC on sub-images, we first code the whole image into two descriptions. Then we split each description horizontally and vertically to form row packets and column packets, respectively. The simulation results show that if only some row packets or column packets are lost, the reconstruction quality is still as good as the former scheme. If we lose both columns and rows, CPMDC will still be better than PTSQ.
机译:本文提出了一种新颖的多描述编码方法,称为分组多描述编码(PMDC)。首先,我们将小波变换后的图像分成几个子图像,并通过一种称为不等损保护的多描述子带编码(ULPMDC)的方法对每个子图像进行编码。使用这种算法,我们可以首先形成两个子描述,其中包含来自图像的数据包,然后通过两个不同的通道传输它们。如果每个子图像丢失的子描述不超过一个,则该算法将获得很好的重建质量。如果丢失每个子图像更多的子描述,则重构质量将严重降低。为了提供更好的重建图像质量,我们然后修改打包过程,并提出一种新颖的打包MDC框架,称为交叉打包多描述编码(CPMDC)。在这种方法中,我们没有将ULPMDC应用于子图像,而是先将整个图像编码为两个描述。然后,我们将每个描述水平和垂直拆分,分别形成行数据包和列数据包。仿真结果表明,如果仅丢失一些行数据包或列数据包,则重建质量仍与前一种方案相同。如果我们丢失了列和行,则CPMDC仍将优于PTSQ。

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