@Article{cmes.2007.022.091,
AUTHOR = {Jun Zhang},
TITLE = {A Comparative Study of Non-separable Wavelet and Tensor-product Wavelet in Image Compression},
JOURNAL = {Computer Modeling in Engineering \& Sciences},
VOLUME = {22},
YEAR = {2007},
NUMBER = {2},
PAGES = {91--96},
URL = {http://www.techscience.com/CMES/v22n2/25051},
ISSN = {1526-1506},
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.},
DOI = {10.3970/cmes.2007.022.091}
}