结合成对相关变换和五次采样的基于小波的多重描述编码

T. Lu, Yunhui Shi, Dehui Kong, Baocai Yin
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引用次数: 3

摘要

提出了一种新颖高效的小波域双描述图像编码方案。在这里,每个描述包括一个由成对相关变换(PCT)产生的基本描述和一个由昆克斯子采样形成的增强描述。首先,我们将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,分别通过两个独立的信道进行编码和传输。其次,通过五次抽样,从最高阶分解的高频小波系数中得到两种增强描述;当一个增强描述在传输过程中丢失时,采用小波域插值进行树重建(WDIR)来掩盖小波树中的系数损失。实验结果表明,该方案具有良好的编码性能。
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A wavelet-based multiple-description coding combining pairwise correlating transform with quincunx sub-sampling
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.
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