A comparative study of non-separable wavelet and tensor-product wavelet in image compression

作者：Zhang Jun^*

来源：Computer Modeling in Engineering & Sciences, 2007, 22(2): 91-96.

• non-separable wavelet
• tensor-product wavelet
• image compression

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.

• 出版日期2007-12
• 单位中国人民解放军信息工程大学