Method of image filtering using singular decomposition and the surrogate data technology
Павел Юрьевич Костенко, Valeriy Slobodyanuk, O. V. Plahotenko · Radioelectronics and Communications Systems · 2016
A method for nonlinear filtering of additive noise on digital image has been proposed. This method is based on presenting the image by its matrix singular decomposition and applying the surrogate data technology to components of the image. The proposed method ensures a superior resolution as compared to most common methods of window filtering that is corroborated by the results of simulation modeling.