Image coding based on multiband wavelet and adaptive quad-tree partition

Authors:
Bi Ning;Dai Qinyun;Huang Daren;Fang Ji
Affiliations:
School of Information Science and Technology, Sun Yat-Sen University, Guangzhou, PR China;School of Information Science and Technology, Sun Yat-Sen University, Guangzhou, PR China and Faculty of Information Engineering, Guangdong University of Technology, Guangzhou, PR China;School of Information Science and Technology, Sun Yat-Sen University, Guangzhou, PR China;Faculty of Information Engineering, Guangdong University of Technology, Guangzhou, PR China
Venue:
Journal of Computational and Applied Mathematics - Special issue: The international symposium on computing and information (ISCI2004)
Year:
2006

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Abstract

In this paper, a new family of multiband wavelets with a parameter λ is introduced for image coding. In our method of image coding, subbands in the wavelet decomposition are adaptively divided into insignificant subbands and significant subbands while the latter are further partitioned by a significance benchmark and by the quadtree partition algorithm. Our experimental results show less computational cost and better capability for our method than those based on two-band wavelets.