整数小波变换用于医学图像压缩

D. Tay
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引用次数: 6

摘要

整数小波变换(IWT)是一种将整数映射到整数的变换,因此可以用于医学图像的无损压缩。本文提出了一类由一个自由参数简单参数化的内小波变换。对一类6/10滤波器对进行基于提升的分解,得到了一类IWT。通过调整自由参数,可以得到具有不同性质和特征的小波变换,并将其用于自适应系统。在这个类中是具有有理系数的提升过滤器,它比无理数对应的过滤器更容易实现。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Integer wavelet transform for medical image compression
The Integer Wavelet Transform (IWT) is a transform that maps integers to integers and can thus be used for the lossless compression of medical images. A class of IWT which are parametrized simply by one free parameter is presented in this work. The class of IWT is obtained by a lifting based factorization on a class of 6/10 filter pair. By adjusting the free parameter, IWT with different properties and characteristics can be obtained and this feature can be utilized in an adaptive system. Within this class are lifting filters with rational coefficients which are easier to implement than the irrational counterpart.
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