Automatic Filtreing of Quasy-Periodic Noise
Anatoly Ivanovich Novikov, Vladimir Ovchinnikov · 2025
The problem of filtering periodic noise in digital images in an automatic mode has been addressed by scientists in many countries. Several alternative methods have been proposed. Currently, approaches to solving the problem of quasi-periodic noise filtering in automatic mode are actively being investigated. This type of noise is more common in real images. This paper briefly discusses the methods that best meet the criteria for quasi-periodic noise filtering quality and computational complexity requirements. Additionally, a formalized description of the iterative method proposed by the authors is provided, along with the results of experimental studies comparing the proposed method with other approaches.