VQ Bit Rate Reduction Technique by Transform Compression

Yung Gi Wu, Shen-Chuan Tai

Research output: Contribution to conferencePaperpeer-review


In this paper, a technique to reduce the overhead of Vector Quantization (VQ) is developed here. Our method exploits the high correlation property among neighboring blocks. By rearranging the codebook after training process, the indices of neighboring vectors have fewer varieties, then, the gains of compression is attained. For the excellent energy compactness advantage of Discrete Cosine Transform (DCT), the indices buffer formed after encoding phase are fed to DCT to reduce the bit rate furthermore. Statistics illustrators are addressed to prove the efficient performance of proposed method. Experiments are carried out to natural gray images. Simulation results show that our method decreases the bit rate more than 50% with the same reconstructed image quality compared to standard VQ coding.

Original languageEnglish
Publication statusPublished - 1998 Dec 1
Event1998 International Conference on Communication Technology, ICCT 1998 - Beijing, China
Duration: 1998 Oct 221998 Oct 24


Other1998 International Conference on Communication Technology, ICCT 1998

All Science Journal Classification (ASJC) codes

  • Computer Networks and Communications
  • Electrical and Electronic Engineering


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