A local wavelet transform implementation versus an optimal row-column algorithm for the 2D multilevel decomposition
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چکیده
A new method for the implementation of the binary-tree decomposition of the convolution-based wavelet transform, called the Local Wavelet Transform (LWT) has been recently proposed in the literature. While it produces exactly the same results as the classical row-column implementation of the transform, it has many implementation benefits. In this paper, this fact is shown experimentally for the first time for a general-purpose processor-based architecture, by comparing our C implementation of the LWT with an optimal C implementation of the lifting-scheme row-column algorithm. The comparisons are made for the forward multilevel binarytree decomposition using the 9/7 filter pair, in the typical Intel Pentium processor family.
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تاریخ انتشار 2001