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Biorthogonal Wavelets Based On Gradual Subdivision Of Quadrilateral Meshes

机译:基于四边形网格逐步细分的双正交小波

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This paper introduces a new biorthogonal wavelet based on a variant of 2~(1/2) subdivision by using the lifting scheme. The greatest advantage of this wavelet is its very slow gradual refinement for quadrilateral meshes, which offers the biggest number of resolution levels to control a quadrilateral mesh. Moreover, the resulting wavelet transforms have a linear computational complexity, as they are composed of local and in-place lifting operations only. Feature lines can also be effectively integrated into the wavelet transforms as self-governed boundary curves. The introduced wavelet analysis can be used in a variety of applications such as progressive transmission, data compression, shape approximation and multiresolution rendering. The experiments have shown sufficient stability as well as better performance of the introduced wavelet analysis, as compared to the existing wavelet analyses for quadrilateral meshes of arbitrary topology.
机译:本文采用提升方案,提出了一种基于2〜(1/2)细分变体的双正交小波。该小波的最大优点是它对四边形网格的渐变非常缓慢,从而提供了最大数量的分辨率级别来控制四边形网格。此外,所得的小波变换具有线性计算复杂性,因为它们仅由局部和就地提升操作组成。特征线也可以有效地集成到小波变换中,作为自控边界曲线。引入的小波分析可用于多种应用,例如渐进式传输,数据压缩,形状近似和多分辨率渲染。与现有的任意拓扑四边形网格的小波分析相比,实验表明引入的小波分析具有足够的稳定性和更好的性能。

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