Дослідження адаптивних методів подавлення шуму в відеозображеннях

Abstract

In this paper we investigate some noise filtering methods on real video images. The study was conducted by mathematical simulation. For the experiment we used digital video images with a high signal-to-noise ratio. Than we simulated Gaussian white noise with different dispersion. Investigated spatial and temporal filtering methods: averaging filter with a rectangular window, median filter, time averaging filter. Size of the filter window was adaptive to noise dispersion. Estimation of signal-to-noise ratio was obtained. Deviation of estimates did not exceed 3 dB.