TY  - EJOU
AU  - Zhang, Jun 

TI  - A Comparative Study of Non-separable Wavelet and Tensor-product Wavelet in Image Compression
T2  - Computer Modeling in Engineering \& Sciences

PY  - 2007
VL  - 22
IS  - 2
SN  - 1526-1506

AB  - 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.
KW  - Non-separable Wavelet
KW  -  Tensor-product Wavelet
KW  -  Image Compression

DO  - 10.3970/cmes.2007.022.091