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Dilation Matrices for Nonseparable Bidimensional Wavelets

机译:不可分离的二维小波的扩张矩阵

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For nonseparable bidimensional wavelet transforms, the choice of the dilation matrix is all-important, since it governs the downsam-pling and upsampling steps, determines the cosets that give the positions of the filters, and defines the elementary set that gives a tesselation of the plane. We introduce nonseparable bidimensional wavelets, and give formulae for the analysis and synthesis of images. We analyze several dilation matrices, and show how the wavelet transform operates visually. We also show some distorsions produced by some of these matrices. We show that the requirement of their eigenvalues being greater than 1 in absolute value is not enough to guarantee their suitability for image processing applications, and discuss other conditions.
机译:对于不可分离的二维小波变换,膨胀矩阵的选择非常重要,因为它控制下采样和上采样步骤,确定给出滤波器位置的陪集,并定义给出细分的基本集。飞机。我们介绍了不可分离的二维小波,并给出了用于图像分析和合成的公式。我们分析了几种膨胀矩阵,并显示了小波变换如何在视觉上运行。我们还显示了其中某些矩阵产生的一些失真。我们证明,要求其特征值的绝对值大于1不足以保证其适合图像处理应用,并讨论其他条件。

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