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Construction of bivariate nonseparable compactly supported biorthogonal wavelets

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3 Author(s)
Jin-Song Leng ; Fac. of Appl. Math., Univ. of Electron. Sci. & Technol. of China, Chengdu ; Ting-Zhu Huang ; Ying-Ding Fu

Bivariate wavelets have become powerful tool of image processing. We get a method for constructing bivariate nonseparable compactly supported biorthogonal filters. These filters can generate bivariate nonseparable compactly supported biorthogonal scaling functions and the related wavelets based on the theory of bivariate multiresolution analysis. Finally, we give two simple numerical examples of bivariate nonseparable compactly supported biorthogonal filters satisfying the perfect reconstruction condition.

Published in:

Machine Learning and Cybernetics, 2008 International Conference on  (Volume:7 )

Date of Conference:

12-15 July 2008