首页> 外文会议>9th International Conference on Signal Processing(第九届国际信号处理学术会议)(ICSP'08)论文集 >A Wavelet-Based Multiple-Description Coding Combining Pairwise Correlating Transform with Quincunx Sub-sampling
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A Wavelet-Based Multiple-Description Coding Combining Pairwise Correlating Transform with Quincunx Sub-sampling

机译:基于小波的多描述编码结合成对相关变换与梅花形子采样

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摘要

This paper proposes a novel and efficient two-description image coding scheme in the wavelet domain.Here,each description includes one basic description produced by pairwise correlating transform (PCT) and one enhanced description formed by quincunx sub-sampling.First,we partition the low-frequency wavelet coefficients into two groups.Then the PCT was applied between the two groups to generate two new correlated groups as two basic descriptions,which are coded and transmitted through two separate channels.Second,we can get two enhanced descriptions from the high-frequency wavelet coefficients of the highest-level decomposition by quincunx sub-sampling.And the Wavelet Domain Interpolation for tree Reconstruction (WDIR) is used to conceal coefficients loss in Wavelet-Trees when one enhanced description lost during transmission.Experimental results demonstrate that the proposed MDC scheme can achieve good coding performance.
机译:本文提出了一种新颖且高效的小波域二描述图像编码方案。在此,每个描述都包括一个由成对相关变换(PCT)产生的基本描述和一个由梅花形子采样形成的增强描述。低频小波系数分成两组。然后在两组之间应用PCT生成两个新的相关组,作为两个基本描述,并通过两个单独的通道进行编码和传输。其次,我们可以从高处获得两个增强的描述。梅花形子采样进行最高级别分解的高频率小波系数。当在传输过程中丢失一种增强描述时,使用树重构的小波域插值(WDIR)来隐藏小波树中的系数损失。提出的MDC方案可以实现良好的编码性能。

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