Multispectral image data compression using classified vector quantization

영역분류 벡터 양자화를 이용한 다중분광 화상데이타 압축

  • 김영춘 (경북대학교 전자공학과) ;
  • 반성원 (경북대학교 전자공학과) ;
  • 김중곤 (경남전문대학 전자과) ;
  • 서용수 (동서대학교 전자공학과) ;
  • 이건일 (경북대학교 전자공학과)
  • Published : 1996.08.01

Abstract

In this paper, we propose a satellite multispectral image data compression method using classified vector quantization. This method classifies each pixel vector considering band characteristics of multispectral images. For each class, we perform both intraband and interband vector quantization to romove spatial and spectral redundancy, respectively. And residual vector quantization for error images is performed to reduce error of interband vector quantization. Thus, this method improves compression efficiency because of removing both intraband(spatial) and interband (spectral) redundancy in multispectral images, effectively. Experiments on landsat TM multispectral image show that compression efficiency of proposed method is better than that of conventional method.

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