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Parallel recursive computation of the inverse Legendre moment transforms for signal and image reconstruction

机译:勒让德矩矩变换的并行递归计算,用于信号和图像重建

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摘要

The inverse Legendre moment transform plays an important role in the field of image analysis applications. A recursive algorithm based on Clenshaw's recurrence formula is derived for the fast computation of the inverse Legendre moment transform for signal and image reconstruction purposes. The reconstruction can be implemented effectively using recursive equations. The presented algorithm is particularly suitable for parallel very large-scale integrated circuit (VLSIC) implementation due to its regular, modular, and simple filter structure.
机译:勒让德矩的逆变换在图像分析应用领域中起着重要的作用。推导了基于Clenshaw递归公式的递归算法,用于信号和图像重建目的的勒让德矩矩逆变换的快速计算。使用递归方程可以有效地实现重建。提出的算法由于其规则,模块化和简单的滤波器结构,特别适合于并行超大规模集成电路(VLSIC)的实现。

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