WAVELET TRANSFORM FOR IMAGE FILTERING FROM SURVEILLANCE CAMERAS
Journal Title: Вчені записки Таврійського національного університету імені В. І. Вернадського. Серія: Технічні науки - Year 2018, Vol 29, Issue 3
Abstract
Comparison of known and new method of filtering images from surveillance cameras using wavelet transforms. Dependences of the root-mean-square filter error on the threshold level for hard and soft variants of threshold function assignment with a white noise level of 20% for filtering on the basis of such wavelets are obtained: Haar, dual, dual-complex and wavelet transform at oriented basis (OB).
Authors and Affiliations
Т. О. Терещенко, Ю. С. Ямненко, О. Л. Мельниченко, М. В. Панченко
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