Jigsaw-puzzle vector quantization for image compression

Chia Hung Yeh*

*此作品的通信作者

研究成果: 雜誌貢獻期刊論文同行評審

7 引文 斯高帕斯(Scopus)

摘要

A new finite-state vector quantization scheme called jigsaw-puzzle vector quantization (JPVQ) is proposed to provide better image quality, especially in the low bit rate context. For low bit rate image coding with conventional finite-state vector quantization (FSVQ) techniques, image quality degrades due to error propagation from one state to the next. The proposed JPVQ algorithm exploits the four-step side-match prediction technique to optimize the spatial continuity of each encoded block to improve the coding performance and reduce the error propagation effect. In the proposed coding scheme, an input block can be encoded by the jigsaw-puzzle block, the dynamic codebook, or the super-codebook. It is demonstrated with experimental results that JPVQ performs significantly better than traditional FSVQ techniques.

原文英語
頁(從 - 到)363-370
頁數8
期刊Optical Engineering
43
發行號2
DOIs
出版狀態已發佈 - 2004 2月
對外發佈

ASJC Scopus subject areas

  • 原子與分子物理與光學
  • 一般工程

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