Information Compression Based on Wavelet Transform

웨이블릿변환에 기반한 정보압축

  • Kim, Eung-Kyeu (Div. of Information Communication & Computer Engineering, College of Engineering, Hanbat National University) ;
  • Lee, Soo-Jong (Speech/Language Information Research Department)
  • 김응규 (한밭대학교 정보통신공학부) ;
  • 이수종 (한국전자통신연구원 음성/언어정보연구부)
  • Published : 2006.06.21

Abstract

In this study, information compression based on the wavelet technique is described. The principle of signal or image compression is performed by optimization of quantization, that is the bit allocation taking advantage of their energy concentration in low frequency components. The wavelet transform is one of frequency decomposition, such as the discrete cosine transform or sub-band filtering, and it is also implemented as a filter bank. Wavelet transform with use of spatially localized basis function can reduce several drawbacks in conventional methods. The benifit of wavelet based compression method is described as comparing the transform method to another ones.

Keywords