基于显著系数分解的堆栈x树多重描述编码

C. Cai, Jing Chen, R. Ding
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引用次数: 2

摘要

提出了一种新的多描述编码方法。该方法首先将每个重要的小波系数分解为两个系数。一个是由奇数位组成的,另一个是由偶数位组成的。然后将这两种类型的系数分组为两个子信号。由这些子信号形成编码数据的两种描述,并通过不同的信道传输。为了实现平衡多描述编码,将不同子信号的数据编织成两种描述。实验结果表明,该方案的性能优于多相变换和选择性量化方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Significant coefficient decomposition based stack X-tree multiple description coding
A new multiple description coding approach is presented in this paper. In this approach, first each significant wavelet coefficient is decomposed into two coefficients. One is made from the bits in the odd positions, whereas, the other is made from the bits in the even positions. These two types of coefficients are then grouped into two sub-signals. Two descriptions of coded data are formed from these sub-signals and transmitted over different channels. To realize a balance multiple description coding, data from different sub-signals are knitted to produce two descriptions. Experimental results have shown that the performances of the proposed scheme are better than those of the polyphase transform and selective quantization one.
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