一种基于重排序DCT系数和SPIHT算法的多重描述编码框架

Lin-Lin Tang, Zhe-ming Lu, Faxin Yu
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引用次数: 2

摘要

提出了一种基于离散余弦变换(DCT)和层次树集分割(SPIHT)的多数据集分割算法。与常用的DCT算法不同的是,所有变换后的系数都被重构成小波分解结构,便于SPIHT算法的使用。然后利用基于方向的信息形成三个不同的通道。通过对垂直、水平和对角三个不同方向的信息采用不同的比特率进行编码,从而在三个信道中引入冗余。每个通道包含来自三个不同方向的混合信息。实验结果表明了该算法的优越性,并进行了理论分析。
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A Novel Multiple Description Coding Frame Based on Reordered DCT Coefficients and SPIHT Algorithm
A novel MDC algorithm based on Discrete Cosine Transform (DCT) and the Set Partition in Hierarchical Trees (SPIHT) is proposed in this paper. Different from the commonly used DCT algorithm, all the transformed coefficients are reshaped into the wavelet decomposition structure to facilitate the use of the SPIHT algorithm. Then the direction-based information is used to form the three different channels. By using different bit rates to encode the information from three different orientations, i.e., vertical, horizontal and diagonal directions, the redundancy is introduced into the three channels. Every channel contains the hybrid information from three different directions. Experimental results show the advantages of this novel algorithm and the theoretical analysis has also been studied.
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