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.
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