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Quantifying the Coding Performance of Zerotrees of Wavelet Coefficients: Degree-$k$ Zerotree

机译:量化小波系数零树的编码性能:度-$ k $零树

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Locating zerotrees in a wavelet transform allows encoding of sets of coefficients with a single symbol. It is an efficient means of coding if the overhead to identify the locations is small compared to the size of the zerotree sets on the average. It is advantageous in this regard to define classes of zerotrees according to the levels from the root until the remainder of the tree contains all zeroes. We call a tree with all zeroes except for the top k levels a degree-k zerotree. A degree-k zerotree coder is one that can encode degree-0 through degree-k zerotrees. We quantify the bit savings of a degree-k2 over a degree-k1, k2>k1, coder. Because SPIHT is a degree-2 zerotree coder and EZW a degree-0 zerotree coder, we are able to explain the superior efficiency of SPIHT. Finally, we gather statistics of degree-k zerotrees for different values of k in the bit planes of several image wavelet transforms to support our analysis of the coding performance of degree-k zerotree coders
机译:在小波变换中定位零树允许使用单个符号对系数集进行编码。如果识别位置的开销比平均零树集的大小小,则这是一种有效的编码方法。在这方面有利的是根据从根直到树的其余部分包含所有零的级别来定义零树的类别。我们将除顶部k个级别以外所有零的树称为度k的零树。度k零树编码器是一种可以通过度k零树对度0进行编码的编码器。我们用度数k1量化度数k2的位节省量,k2> k1,编码器。因为SPIHT是2级零树编码器,而EZW是0级零树编码器,所以我们能够解释SPIHT的优越效率。最后,我们收集了几个图像小波变换的位平面中k个不同值的k度零树统计信息,以支持对k度零树编码器编码性能的分析。

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