Parametrization construction of biorthogonal wavelet filter banks for image coding |
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Authors: | Zaide Liu Nanning Zheng |
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Affiliation: | (1) Institute of Artificial Intelligence and Robotics, Xi’an Jiaotong University, Xi’an, 710049, China;(2) Department of Computer Science and Engineering, Changshu Institute of Technology, Changshu, 215500, China |
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Abstract: | We construct popular biorthogonal wavelet filter banks (BWFBs) having the linear phase and arbitrary multiplicity of vanishing moments (VMs). A novel parametrization construction technique, which is based on the theory of Diophantine equation, is presented and explicit one-parameter expressions of the BWFBs are derived. Using the expressions, any one-parameter family of BWFBs with different VMs can be constructed, and ten families, i.e., 5/7, 6/6, 9/7, 6/10, 5/11, 10/6, 13/7, 6/14, 17/11, and 10/18 families, are constructed here. The free parameter can be used to optimize the resulting BWFBs with respect to other criteria. In particular, in each family, three specific BWFBs with attractive features are obtained by adjusting the free parameter: the first has optimum coding gain and rational coefficients; the second which also has rational coefficients is very close to a quadrature mirror filter (QMF) bank; and the third which has binary coefficients can realize a multiplication-free discrete wavelet transform. In addition, four BWFBs are systematically verified to exhibit performance competitive to several state-of-the-art BWFBs for image compression, and yet require lower computational costs. This work was supported by the National Natural Science Foundation of China under Grant 60021302 |
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Keywords: | Biorthogonal wavelets Filter bank Discrete wavelet transform (DWT) Diophantine equation Coding gain Compression performance Computational complexity |
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