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Multiplierless lifting-based fast X transforms derived from fast Hartley transform factorization

机译:基于多平台的升降的快速X,来自Fast Hartley变换分解的变换

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摘要

This paper presents M-channel (M = 2(N), N is an element of N, N = 1) multiplierless liftingbased (ML-) fast X transforms (FXTs), where X = F (Fourier), C (cosine), S (sine), and H (Hartley), i. e., FFT, FCT, FST, and FHT, derived from FHT factorization as way of lowering the cost of signal (image) processing. The basic forms of ML-FXTs are described. Then, they are customized for efficient image processing. The customized ML-FFT has a real-valued calculation followed by a complex-valued one. The ML-FCT customization for a block size of 8, which is a typical size for image coding, further reduces computational costs. We produce two customized ML-FCTs for lossy and lossless image coding. Numerical simulations show that ML-FFT and ML-FCTs perform comparably to the conventional methods in spite of having fewer operations.
机译:本文呈现M-Channel(M = 2(n),n是n,n> = 1)的元素,多平台升级(ml-)fast x变换(fxts),其中x = f(傅里叶),c( 余弦),s(正弦)和h(hartley),我。 即,FFT,FCT,FST和FHT,从FHT分解得出降低信号(图像)处理成本的方式。 描述了ML-FXTS的基本形式。 然后,它们定制以用于有效的图像处理。 定制的ML-FFT具有真实值的计算,然后是一个复值。 块大小为8的ML-FCT定制,其是图像编码的典型尺寸,进一步降低了计算成本。 我们为有损和无损图像编码生产两种定制ML-FCT。 数值模拟表明,ML-FFT和ML-FCT相当于传统方法执行,尽管具有较少的操作。

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