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引用次数: 0
摘要
介绍了一种结合SPIHT (Set Partitioning in Hierarchical Trees)压缩方案的小波包分解新方法。我们分析了基于零树量化的算法(如SPIHT)在小波包变换系数中的应用所产生的问题。建立了小波包的广义父子关系,给出了SPIHT的完整树结构。该算法既适用于小波二进分解,也适用于小波包分解(WP-SPIHT)。对该算法进行了广泛的评估,结果表明,WP-SPIHT在纹理图像上明显优于基线SPIHT编码器。对于这些图像,次优的WP成本函数可以实现足够好的能量压缩,从而被WP- spiht有效地利用。
Modified SPIHT algorithm for wavelet packet image coding
This paper introduces a new implementation of wavelet packet decomposition which is combined with SPIHT (Set Partitioning in Hierarchical Trees) compression scheme. We provide the analysis of the problems arising from the application of zerotree quantisation based algorithms (such as SPIHT) to wavelet packet transform coefficients. We established the generalized parent–child relationships for wavelet packets, providing complete tree structures for SPIHT. The proposed algorithm can be used for both wavelet dyadic and Wavelet Packet decomposition (WP-SPIHT). An extensive evaluation of the algorithm was performed and it has been shown that WP-SPIHT significantly outperforms base-line SPIHT coder for texture images. For these images the suboptimal WP cost-function enables good enough energy compaction that is efficiently exploited by the WP-SPIHT.