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Gray level image compression using a set of separable 2D discrete orthogonal moments based on Racah polynomials

机译:灰度级图像压缩,使用基于Racah多项式的一组可分离的2D离散正交矩

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This paper details a comparative study in terms of compression capability, between our separable two-dimensional discrete orthogonal moments and the classical existing methods such as classical discrete orthogonal moments and DCT. In the current study, we aim to investigate the properties and the capabilities of the separable discrete moments in the image compression fields. The experimental results and analysis on several test images, show that separable discrete orthogonal moments can provide better image representation and favorable image compression performance than the traditional moments.
机译:本文详细介绍了压缩能力方面的比较研究,在我们可分离的二维离散正交矩和经典的现有方法(例如古典离散正交时段和DCT)之间。在目前的研究中,我们的目标是调查图像压缩场中可分离离散时刻的性质和能力。几种测试图像的实验结果和分析,示出可分离的离散正交矩可以提供比传统时刻更好的图像表示和有利的图像压缩性能。

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