A Markov system for vector quantization coding

Shen Chuah Tai, Yung Gi Wu, Ling Shiou Huang

Research output: Contribution to conferencePaper

Abstract

In the present paper, the Markov system for VQ is introduced to exploit the interblock correlation by statistical processing and using different coding orders, like zig-zag, peano, row-major and column-major scanning orders. Computer simulations are carried out to many different natural images. The proposed method is shown to achieve a better bit-rate reduction than Address-VQ with less computational complexity and lower memory requirements. Moreover, the quality of reconstructed image is the same as conventional VQ. Therefore, the proposed strategy raises the compression efficiency greatly.

Original languageEnglish
Pages421-423
Number of pages3
Publication statusPublished - 1999 Dec 1
EventPicture Coding Symposium 1999 - Portland, OR, United States
Duration: 1999 Apr 211999 Apr 23

Other

OtherPicture Coding Symposium 1999
CountryUnited States
CityPortland, OR
Period99-04-2199-04-23

All Science Journal Classification (ASJC) codes

  • Engineering(all)

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  • Cite this

    Tai, S. C., Wu, Y. G., & Huang, L. S. (1999). A Markov system for vector quantization coding. 421-423. Paper presented at Picture Coding Symposium 1999, Portland, OR, United States.