Noise Adaptive Wiener Filtering of Images
Lora Petkova, Ivo Rumenov Draganov · 2020
In this paper we propose a technique for application of the Wiener filter over images with unknown level of present Gaussian noise. The variance of the noise is predicted by exploring the intensity distribution of relatively homogenous areas from the image and then passed to the Wiener filter as an input argument prior to applying it in contrast to its traditional implementation. Also, extensive study has been made on the influence of the filter mask size over the quality of processed images given this approach. Promising results are gathered with comparison to the original implementation of the Wiener filter.