Volume 34 Issue 4
Dec.  2017
Article Contents
Article Navigation >  Journal of University of Electronic Science and Technology of China  > 2005  >  34(4): 460-463

Gan Tao, Zhu Wei-le. Lattice Vector Quantization of Wavelet Image Using Quadtree Structure[J]. Journal of University of Electronic Science and Technology of China, 2005, 34(4): 460-463.
Citation: Gan Tao, Zhu Wei-le. Lattice Vector Quantization of Wavelet Image Using Quadtree Structure[J]. Journal of University of Electronic Science and Technology of China, 2005, 34(4): 460-463.
shu

Lattice Vector Quantization of Wavelet Image Using Quadtree Structure

  • 1.

    School of Electronic Engineering,UEST of China Chengdu 610054

  • Received Date: 2004-06-21
  • Publish Date: 2005-08-15
  • Lattice vector quantization(LVQ)outperforms LBG based vector quantizers by offering a substantial reduction in computational and storage complexity. A novel algorithm based on quadtree structure is proposed in this paper as a combination of wavelet transform and LVQ. First, perceptual weighting on the wavelet transform coefficients is introduced with the result of substituting normal distortion measure Mean Square Error(MSE)with perceptually based one. To exploiting both frequency and spatial compaction of energy of wavelet, a framework with improved zerotree coding followed by LVQ is developed. Codeword is organized based on directional quadtree structure to take advantages of the inherent properties of the wavelet transform coefficients. Stimulation shows, compared with other algorithms in literature, this algorithm has distinct advantages of high coding efficiency with fast speed and small storage requirement.
  • 加载中
通讯作者: 陈斌, bchen63@163.com
  • 1. 

    沈阳化工大学材料科学与工程学院 沈阳 110142

  1. 本站搜索
  2. 百度学术搜索
  3. 万方数据库搜索
  4. CNKI搜索
Get Citation
PDF
XML

Article Metrics

Article views(3688) PDF downloads(74) Cited by()

Related
Proportional views

Lattice Vector Quantization of Wavelet Image Using Quadtree Structure

  • 1. School of Electronic Engineering,UEST of China Chengdu 610054
  • Received Date: 2004-06-21
  • Publish Date: 2005-08-15

Abstract: Lattice vector quantization(LVQ)outperforms LBG based vector quantizers by offering a substantial reduction in computational and storage complexity. A novel algorithm based on quadtree structure is proposed in this paper as a combination of wavelet transform and LVQ. First, perceptual weighting on the wavelet transform coefficients is introduced with the result of substituting normal distortion measure Mean Square Error(MSE)with perceptually based one. To exploiting both frequency and spatial compaction of energy of wavelet, a framework with improved zerotree coding followed by LVQ is developed. Codeword is organized based on directional quadtree structure to take advantages of the inherent properties of the wavelet transform coefficients. Stimulation shows, compared with other algorithms in literature, this algorithm has distinct advantages of high coding efficiency with fast speed and small storage requirement.

Gan Tao, Zhu Wei-le. Lattice Vector Quantization of Wavelet Image Using Quadtree Structure[J]. Journal of University of Electronic Science and Technology of China, 2005, 34(4): 460-463.
Citation: Gan Tao, Zhu Wei-le. Lattice Vector Quantization of Wavelet Image Using Quadtree Structure[J]. Journal of University of Electronic Science and Technology of China, 2005, 34(4): 460-463.
shu

    HTML

Catalog

    Journal Online

    Author's Notes

    Links

    Copyright © 《电子科技大学学报》编辑部

    Address: Room 350, central building, University of Electronic Science and Technology, No.4, Section 2, Jianshe North Road, Chengdu Tel: 028-83202308,83207559 Email: xuebao@uestc.edu.cn

    本系统由 北京仁和汇智信息技术有限公司 开发 

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return