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A fast algorithm for the generation of orthogonal base functions on an arbitrarily shaped region

机译:一种快速算法在任意形状区域上生成正交基础函数的快速算法

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In region-oriented transform coding, an image is divided into several nonrectangular regions. The image intensity in each of these regions is represented as a weighted sum of orthogonal base functions. These base functions depend on the shape of the image region and are obtained by orthogonalizing a nonorthogonal starting base. This can be done by using the Gramm-Schmidt procedure. In that case, if base functions of degree up to N are required, a number of O(N/sup 4/) multiplications and additions must be computed for each pixel in the image region. This paper presents a new orthogonalization algorithm, in which the complexity is reduced from O(N/sup 4/) to O(N/sup 3/). The algorithm applies in the important cases, where the starting base consists of polynomials or sinewaves.
机译:在面向区域的变换编码中,图像被分成几个非连接区域。这些区域中的每一个中的图像强度表示为正交基础函数的加权和。这些基础函数取决于图像区域的形状,并且通过正交化非正交启动基础获得。这可以通过使用Gramm-Schmidt程序来完成。在这种情况下,如果需要最多N的基本函数,则必须为图像区域中的每个像素计算多个O(n / sup 4 /)乘法和添加。本文呈现了一种新的正交化算法,其中复杂性从O(n / sup 4 /)减少到o(n / sup 3 /)。该算法应用于重要情况,起始基地由多项式或弦波组成。

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