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Volume 24 Issue 7
Jul.  2002
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Pan Jianshou, Sun Hongwei . An Efficient vector quantization algorithm based on 9/7 biorthogonal wavelet[J]. Journal of Electronics & Information Technology, 2002, 24(7): 900-904.
Citation: Pan Jianshou, Sun Hongwei . An Efficient vector quantization algorithm based on 9/7 biorthogonal wavelet[J]. Journal of Electronics & Information Technology, 2002, 24(7): 900-904.

An Efficient vector quantization algorithm based on 9/7 biorthogonal wavelet

  • Received Date: 2000-09-12
  • Rev Recd Date: 2001-04-05
  • Publish Date: 2002-07-19
  • A novel wavelet-based vector quantization (VQ) algorithm is presented in this paper. In this algorithm, first, 9/7 biorthogonal wavelet transform decomposes the original image, then the correlation of the three directions wavelet coefficients is used to construct the band-cross vector. Therefore, the high coding efficiercy is obtained. In addition, a new VQ technology is used in this algorithm to improve the coding efficiency and the quality of the code-book. The experimental results show that this coding scheme, no entropy-coding, can get a reconstruction quality(PSNR32dB) at a very low bit rate(0.142 bpp) with high feasibility.
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  • I. Daubechies, A. Cohen, et al., Biorthonormal bases of compactly supported wavelels, Comm.Pure Appl. Math., 1992, (45), 485-560.[2]S. Mallat, A theory for multiresolution signal decomposition: the wavelet representation. IEEE Trans. on Pattern Analysis and Machine Intelligence, 1989, PAMI-11(7), 674-693.[3]J.1. M. Shapiro, Embedded image coding using zerotrees of wavelet coefficients, IEEE Trans. on SP. 1993, SP-41(12), 3445-3462.[4]A. Said, W. Pearlman, A new fast and efficient image code based on set partitioning in hierarchical trees, IEEE Trans. on Circuits and System Video Tech., 1996, GAS VT-6(3), 243-249.[5]M. Antonini, M. Barland, P. Mathieu, et al., Image coding using wavelet transform, IEEE Trans.on IP, 1992, IP-1(4), 205-220.[6]磊,戚飞虎,基于双正交小波的快速矢量量化算法,上海交大学报,1998,6(32),4-8[7]王光学,赵文革,萱长修,一种基于小波及低复杂度矢量量化的视频编码算法,重庆大学学报,2000[8]A. Bran, R. Thomas, Quantization performance in SPIHT and related wavelet image compression algorithms, IEEE SP Letters., 1999, 5(6), 97-99.[9]N. Akrout, R. Prost, Goutter. Image compress by vector quantization: a review focused on codebook generation, Image and Vision Computing, 1994, 12(10), 627-637.
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