Impulse noise reduction based on lifting wavelet transform

Koichi Kuzume, Shigeru Takano, Koichi Niijima

Research output: Contribution to journalConference articlepeer-review

1 Citation (Scopus)

Abstract

This paper presents a novel method to restore signal corrupted with impulse noise by using time-varying lifting wavelet filters (TVLWF). It is difficult to remove such a noise by conventional linear niters and the Donoho's wavelet shrinkage method. Using the TVLWF, we can detect the locations of impulse noise and estimate their amplitude by which impulse noise can be removed. Proposed noise reduction method is tested on an electrocardiogram (ECG) signal corrupted with mixed Gaussian and random-valued impulse noise. Major improvement is obtained in comparison with conventional median filter.

Original languageEnglish
Article number7075522
JournalEuropean Signal Processing Conference
Volume2015-March
Issue numberMarch
Publication statusPublished - Mar 31 2000
Event2000 10th European Signal Processing Conference, EUSIPCO 2000 - Tampere, Finland
Duration: Sep 4 2000Sep 8 2000

All Science Journal Classification (ASJC) codes

  • Signal Processing
  • Electrical and Electronic Engineering

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