WAVELET TRANSFORM FOR IMAGE FILTERING FROM SURVEILLANCE CAMERAS

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

Keywords

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  • EP ID EP579457
  • DOI -
  • Views 77
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How To Cite

Т. О. Терещенко, Ю. С. Ямненко, О. Л. Мельниченко, М. В. Панченко (2018). WAVELET TRANSFORM FOR IMAGE FILTERING FROM SURVEILLANCE CAMERAS. Вчені записки Таврійського національного університету імені В. І. Вернадського. Серія: Технічні науки, 29(3), 14-18. https://europub.co.uk/articles/-A-579457