A Study on Denoising Methods using Wavelet in AWGN environment

AWGN 환경에서 웨이브렛을 이용한 잡음 제거 방법에 관한 연구

  • 배상범 (부경대학교 공과대학 제어계측공학과) ;
  • 김남호 (부경대학교 공과대학 제어계측공학과)
  • Published : 2001.09.01


This paper presents the new two denoising methods using wavelet. One is new spatially selective noise filtration(NSSNF) using spatial correlation and the other is undecimated discrete wavelet transform (UDWT) threshold-based. NSSNF got the flexible gain special property of SNR adding new parameter at the existing SSNF and UDWT had superior denosing effect than orthogonal wavelet transform(OWT) applied soft-threshold by applied hard-threshold. We selected additive white gaussian noise(AWGN) in this test environment. Also we analyzed and compared ousting denoising method using SNR as standard of judgement of improvemental effect.