3D Noise Adaptive Wiener Filtering of Images
Ivo Rumenov Draganov, Rumen Mironov · 2020
In this paper a new technique is presented for 3D noise adaptive filtering of images containing additive white Gaussian noise on the basis of the Wiener filter. It uses preliminary estimation of the noise variance from unknown set of input images which relies on statistical analysis of the relatively homogenous areas in them. Its application may turn useful for industrial applications involving multispectral, CT, MRI and other types of images.