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

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Abstract

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.

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Authors and Affiliations

  1. Yuriy Fedkovych Chernivtsi National University, Chernivtsi, Ukraine

    S. V. Balovsyak & Kh. S. Odaiska

Authors
  1. S. V. Balovsyak
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  2. Kh. S. Odaiska
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Correspondence to S. V. Balovsyak.

Additional information

Translated from Kibernetika i Sistemnyi Analiz, No. 4, July–August, 2018, pp. 164–172.

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Balovsyak, S.V., Odaiska, K.S. Automatic Determination of the Gaussian Noise Level on Digital Images by High-Pass Filtering for Regions of Interest. Cybern Syst Anal 54, 662–670 (2018). https://doi.org/10.1007/s10559-018-0067-3

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  • DOI: https://doi.org/10.1007/s10559-018-0067-3

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