DOI: https://doi.org/10.3103/S0735272716090041
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Noisy image with PSNR = 16.161 dB

Method of image filtering using singular decomposition and the surrogate data technology

Pavlo Yu. Kostenko, Valeriy V. Slobodyanuk, Olexandr V. Plahotenko

Abstract


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.

Keywords


additive noise; filtering; singular decomposition; spatial resolution; surrogate data

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References


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