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A heuristic algorithm to find the best tree-structured image decomposition

机译:寻找最佳树形图像分解的启发式算法

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In the context of uniform filter bank, width of the hand depends upon the order of the subband decomposition, however for non-uniform filter banks there exist infinite possibilities even when the order is fixed. These infinite possibilities can be brought down to a certain number by using tree structured non-uniform decomposition of the spectrum, with a given pair of low pass and high pass filter. We address the problem of finding the decomposition that gives maximum coding gain. This question is extended to two dimensional signal like image. In this work we suggest a heuristic algorithm that avoids the exhaustive search of max coding gain. We consider separable filters. With the assumption of unit norm of each filter in filter pair.
机译:在均匀滤波器组的情况下,手的宽度取决于子带分解的顺序,但是对于不均匀滤波器组,即使顺序固定,也存在无限的可能性。通过使用给定的一对低通和高通滤波器,通过使用树的光谱结构的非均匀分解,可以将这些无限可能性降低到一定数量。我们解决了寻找给出最大编码增益的分解的问题。这个问题扩展到像图像这样的二维信号。在这项工作中,我们建议一种启发式算法,避免详尽搜索最大编码增益。我们考虑可分离的过滤器。假定滤波器对中每个滤波器的单位范数。

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