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A Comparative Study of Non-separable Wavelet and Tensor-product Wavelet in Image Compression
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
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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.Keywords
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APA Style
Zhang, J. (2007). A comparative study of non-separable wavelet and tensor-product wavelet in image compression. Computer Modeling in Engineering & Sciences, 22(2), 91-96. https://doi.org/10.3970/cmes.2007.022.091
Vancouver Style
Zhang J. A comparative study of non-separable wavelet and tensor-product wavelet in image compression. Comput Model Eng Sci. 2007;22(2):91-96 https://doi.org/10.3970/cmes.2007.022.091
IEEE Style
J. Zhang, "A Comparative Study of Non-separable Wavelet and Tensor-product Wavelet in Image Compression," Comput. Model. Eng. Sci., vol. 22, no. 2, pp. 91-96. 2007. https://doi.org/10.3970/cmes.2007.022.091
This work is licensed under a Creative Commons Attribution 4.0 International License , which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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