Proceedings of the IEEK Conference (대한전자공학회:학술대회논문집)

The Institute of Electronics and Information Engineers (대한전자공학회)
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Image Coding by Region Classification and Wavelet Transform

영역분류와 웨이브렛 변환에 의한 영상 부호화

  • 윤국진 (전북대학교 컴퓨터공학과 영상처리 연구실) ;
  • 박정호 (전북대학교 컴퓨터공학과 영상처리 연구실) ;
  • 최재호 (전북대학교 컴퓨터공학과 영상처리 연구실) ;
  • 곽훈성 (전북대학교 컴퓨터공학과 영상처리 연구실)
  • Published : 2000.06.01
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Abstract

In this paper, we present new scheme for image coding which efficiently use the relationship between the properties of spatial image and its wavelet transform. Firstly an original image is decomposed into several layers by the wavelet transform, and simultaneously decomposed into 2$\^$n/ ${\times}$ 2$\^$n/ blocks. Each block is classified into 3 regions according to their property, i.e., low activity region(LAR), midrange activity region(MAR), high activity region(HAR). Secondly we are applied texture modeling technique to LAR, MAR and HAR are encoded by Stack-Run coding technique. Finally our scheme Is superior to the Zerotree method in both reconstructed image Quality and transmitted bit rates.

Keywords