基于Racah多项式的可分离二维离散正交矩集的灰度图像压缩

2018 International Conference on Intelligent Systems and Computer Vision (ISCV) Pub Date : 2018-04-01 DOI:10.1109/ISACV.2018.8354015

Batioua Imad, Benouini Rachid, Zenkouar Khalid, El Fadili Hakim, Qjidaa Hassan

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引用次数: 0

摘要

本文对二维离散正交矩的压缩性能与现有的经典离散正交矩和DCT方法进行了比较研究。在当前的研究中，我们的目的是研究图像压缩领域中可分离离散矩的性质和能力。实验结果和对多幅测试图像的分析表明，可分离离散正交矩比传统矩具有更好的图像表现和良好的图像压缩性能。

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

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.

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2018 International Conference on Intelligent Systems and Computer Vision (ISCV)

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