A windowed Gaussian notch filter for quasi-periodic noise removal

Authors:
Igor Aizenberg;Constantine Butakoff
Affiliations:
Department of Computer Science, Texas A&M University - Texarkana, 2600 N. Robinson Road, P.O. Box 5518, Texarkana, TX 75505-5518, USA;Computational Imaging Lab, Department of Information and Communication Technologies, Universitat Pompeu Fabra, Pg. de Circumval-lacio 8, Barcelona 08003, Spain
Venue:
Image and Vision Computing
Year:
2008

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Abstract

This paper presents an efficient method of quasi-periodic noise detection and filtering. Taking into account that periodic noise leaves peaks in the amplitude spectrum, the proposed approach focuses on their detection and elimination. The detection is performed semi-automatically using a local median whereupon the localized peaks are eliminated by a modified Gaussian notch filter. The proposed approach demonstrates high efficiency for images corrupted by both pure-periodic and quasi-periodic noise.