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Framelet lifting in image processing

机译:图像处理中的框架提升

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摘要

To obtain appropriate framelets in image processing, we often need to lift existing framelets. For this purpose the paper presents some methods which allow us to modify existing framelets or filters to construct new ones. The relationships of matrices and their eigenvalues which be used in lifting schemes show that the frame bounds of the lifted wavelet frames are optimal. Moreover, the examples given in Section 4 indicate that the lifted framelets can play the roles of some operators such as the weighted average operator, the Sobel operator and the Laplacian operator, which operators are often used in edge detection and motion estimation applications.
机译:为了在图像处理中获得合适的小框架,我们经常需要提升现有的小框架。为此,本文提出了一些方法,这些方法允许我们修改现有的框架或过滤器以构造新的框架或过滤器。在提升方案中使用的矩阵及其特征值之间的关系表明,提升后的小波帧的帧边界是最优的。此外,第4节中给出的示例表明,提升后的小框架可以扮演某些算子的角色,例如加权平均算子,Sobel算子和Laplacian算子,这些算子通常用于边缘检测和运动估计应用中。

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