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

doi:10.3970/cmes.2007.022.091
Source CMES: Computer Modeling in Engineering & Sciences, Vol. 22, No. 2, pp. 91-96, 2007
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Keywords Non-separable Wavelet; Tensor-product Wavelet; Image Compression
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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