Automatic determination of the Gaussian noise level on digital images by high-pass filtering for regions of interest

DOI10.1007/S10559-018-0067-3zbMath1442.94004OpenAlexW2883695716WikidataQ129460410 ScholiaQ129460410MaRDI QIDQ1616273

S. V. Balovsyak, Kh. S. Odaiska

Publication date: 1 November 2018

Published in: Cybernetics and Systems Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s10559-018-0067-3

zbMATH Keywords

convolutiondigital image processingadditive white Gaussian noiseregion of interesthigh-pass filteringdetermination of noise level

Mathematics Subject Classification ID

Image analysis in multivariate analysis (62H35) Image processing (compression, reconstruction, etc.) in information and communication theory (94A08)

Cites Work

• Image Noise Level Estimation by Principal Component Analysis

This page was built for publication: Automatic determination of the Gaussian noise level on digital images by high-pass filtering for regions of interest