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Fast lifting wavelet transform and its implementation in Java

机译:快速提升小波变换及其在Java中的实现

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Fast lifting wavelet transform is a technique which replaces standard discrete wavelet transform used in computation of wavelet coefficients. The idea of lifting comes from the lifting scheme, a method used in wavelet design. The standard method relies on convolution of the original signal with FIR filter structures. Fast lifting scheme basically breaks up the original filters into a series of smaller structures, providing a very sophisticated and versatile algorithm that is up to 50percent faster than the standard way with no extra memory requirements. This paper discusses an implementation of this algorithm in Java language, comparing both speed and efficiency of standard and fast lifting wavelet transform for CDF 9/7 filters, which are used in lossy image compression in JPEG2000 standard. Java has been chosen for its platform independent character and easy integration in mobile devices.
机译:快速提升小波变换是一种替换用于计算小波系数的标准离散小波变换的技术。提升的想法来自提升方案,一种用于小波设计的方法。标准方法依赖于原始信号与FIR滤波器结构的卷积。快速提升方案基本上将原始滤波器分成一系列较小的结构,提供非常复杂的和多功能算法,其比标准方式快5050,没有额外的内存要求。本文讨论了Java语言中该算法的实现,比较了用于CDF 9/7滤波器的标准和快速提升小波变换的速度和效率,用于JPEG2000标准的有损图像压缩。 java已选择为其平台独立的字符和轻松集成在移动设备中。

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