%0 Journal Article %A Abramova, V. V. %A Lukin, V. V. %A Abramov, S. K. %A Rubel, O. %A Vozel, Benoit %A Chehdi, Kacem %A Astola, J. T. %A Egiazarian, Karen O. %D 2016 %I Begell House %K image filtering, denoising efficiency prediction, additive noise, estimation errors, requirements to estimation accuracy %N 2 %P 139-154 %R 10.1615/TelecomRadEng.v75.i2.40 %T ON REQUIREMENTS TO ACCURACY OF NOISE VARIANCE ESTIMATION IN PREDICTION OF DCT-BASED FILTER EFFICIENCY %U https://www.dl.begellhouse.com/journals/0632a9d54950b268,1aa62c39086e4e5c,4179fa176ddc1ebf.html %V 75 %X Several approaches to prediction of denoising efficiency for the DCT-based filters with application to single and multichannel images corrupted by different types of noise have been proposed recently. For all of them, it has been assumed that the noise characteristics are a priori and accurately known. In this paper, we analyze the influence of errors in estimated noise variance on prediction accuracy. It is shown that this influence depends upon input parameter used in prediction. Based on the analysis, requirements to accuracy of the noise variance estimation are provided. %8 2016-05-18