Automatic Determination of the Gaussian Noise Level on Digital Images by High-Pass Filtering for Regions of Interest

A mathematical model, algorithm, and software are developed for automatic determination of the level of Gaussian nose on digital images by the method of high-pass filtering. The noise level is calculated for regions of interest of the image, selected by low-pass filtering. The optimal parameters of low-pass and high-pass filters are obtained. Processing a series of test images showed that the proposed method provides the less error of noise level determination than other analog methods do.