Proceedings of the KIEE Conference (대한전기학회:학술대회논문집)

The Korean Institute of Electrical Engineers (대한전기학회)
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Image Data Compression Using Laplacian Pyramid Processing and Vector Quantization

라플라시안 피라미드 프로세싱과 백터 양자화 방법을 이용한 영상 데이타 압축

  • Park, G.H. (Yonsei Univ., Dept of Electronic Engineering Acoustics, Speech, and Signal Processing Laboratory) ;
  • Cha, I.H. (Yonsei Univ., Dept of Electronic Engineering Acoustics, Speech, and Signal Processing Laboratory) ;
  • Youn, D.H. (Yonsei Univ., Dept of Electronic Engineering Acoustics, Speech, and Signal Processing Laboratory)
  • 박광훈 (연세 대학교, 전자 공학과, 음향, 음성, 신호 처리 연구실) ;
  • 차일환 (연세 대학교, 전자 공학과, 음향, 음성, 신호 처리 연구실) ;
  • 윤대희 (연세 대학교, 전자 공학과, 음향, 음성, 신호 처리 연구실)
  • Published : 1987.07.03
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Abstract

This thesis aims at studying laplacian pyramid vector quantization which keeps a simple compression algorithm and stability against various kinds of image data. To this end, images are devied into two groups according to their statistical characteristics. At 0.860 bits/pixel and 0.360 bits/pixel respectively, laplacian pyramid vector quantization is compared to the existing spatial domain vector quantization and transform coding under the same condition in both objective and subjective value. The laplacian pyramid vector quantization is much more stable against the statistical characteristics of images than the existing vector quantization and transform coding.

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