Journal of South China University of Technology (Natural Science Edition) ›› 2006, Vol. 34 ›› Issue (1): 18-23.

• Electronics, Communication & Automation Technology • Previous Articles     Next Articles

A Prediction-based Vector Quantization Method for Image Coding

Shi Min  Xie Sheng-li   

  1. College of Electronic and Information Engineering,South China Univ.Tech.,Guangzhou 510640,Guangdong,China
  • Received:2004-11-01 Online:2006-01-25 Published:2006-01-25
  • Contact: Shi Min(born in 1977)，female，Ph．D．，mainly researches on image wireless transmission and image processing． E-mail:sunny_scut@163.com
  • About author:Shi Min(born in 1977)，female，Ph．D．，mainly researches on image wireless transmission and image processing．
  • Supported by:

    Supported by the National Natural Sci-enee Foundation of China for Excellent Youth(603253 10).Guangdong Provincial Natural Science Foundation for Program of Research Team (04205783),the National Natural Science Foundation of China(60505005)and the Specialized Pro.phase Basic Research Projects of Ministry of Science and Technology,China(2005CCA04100)

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Abstract:

In order to improve the efficiency of image coding,a prediction-based vector quantization method is Droposed.Two codebooks with different dimensionalities and sizes are respectively employed at the encoding and the decoding ends.For smooth areas,the input vectors are encoded with small-size codebook to speed up the encoding and reduce the bit-rate.For edge areas,the input vectors are quantized with large-size codebook
to maintain the image quality.An efficient method for codebook design is also presented to improve the quality of the resulted codebook.Simulated results indicate that,compared with other decoding methods,the proposed method speeds up the encoding and reduces the bit·rate with the image quality keeping unchanged.

Key words: vector quantization, image compression, image coding, codebook design