A windowed Gaussian notch filter for quasi-periodic noise removal
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摘要
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.
论文关键词:Nonlinear filtering,Spectrum filtering,Fourier transform,Periodic noise
论文评审过程:Received 2 June 2006, Revised 24 July 2007, Accepted 9 August 2007, Available online 27 August 2007.
论文官网地址:https://doi.org/10.1016/j.imavis.2007.08.011