Open Access

ARTICLE

A Comparative Study of Non-separable Wavelet and Tensor-product Wavelet in Image Compression

Jun Zhang¹

1 Information Engineering College, Guangdong University of Technology, Guangzhou, 510006, China, e-mail:zhangjun7907@hotmail.com

Computer Modeling in Engineering & Sciences 2007, 22(2), 91-96. https://doi.org/10.3970/cmes.2007.022.091

Abstract

The most commonly used wavelets for image processing are the tensor-product of univariate wavelets, which have a disadvantage of giving a particular importance to the horizontal and vertical directions. In this paper, a new class of wavelet, non-separable wavelet, is investigated for image compression applications. The comparative results of image compression preprocessed with two different kinds of wavelet transform are presented: (1) non-separable wavelet transform; (2) tensor-product wavelet transform. The results of our experiments show that in the same vanishing moment, the non-separable wavelets perform better than the tensor-product wavelets in dealing with still images.

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Keywords

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