A conditional entropy codingscheme for tree structured vector quantization

나무구조 벡터양자화를 위한 조건부 엔트로피 부호화기법

  • 송준석 (서울대학교 전자공학과) ;
  • 이승준 (서울대학교 전자공학과) ;
  • 이충웅 (서울대학교 전자공학과)
  • Published : 1997.02.01

Abstract

This paper proposes an efficient lossless coding scheme for tree structured vector quantization (TSVQ) system which efficiently exploits inter-block correlation. The TSVQ index of the current block is adaptively arithmeticencoded depending on the indices of the previous blocks. This paper also presents a reductio method, which effectively resolve the memory problem which usually arises in many conditional entropy coding schemes. Simulation results show that the proposed scheme provides remarkable bitrate reduction by effectively exploiting not only linear but also non-linear inter-block correlation.

Keywords

References

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