%0 Journal Article %A Lukin, V. V. %A Abramov, S. K. %A Rubel, A. %A Krivenko, S. S. %A Naumenko, A. %A Vozel, Benoit %A Chehdi, Kacem %A Egiazarian, Karen O. %A Astola, J. T. %D 2014 %I Begell House %K image filtering, denoising efficiency prediction, signal-dependent noise %N 18 %P 1645-1659 %R 10.1615/TelecomRadEng.v73.i18.40 %T AN APPROACH TO PREDICTION OF SIGNAL-DEPENDENT NOISE REMOVAL EFFICIENCY BY DCT-BASED FILTER %U https://www.dl.begellhouse.com/journals/0632a9d54950b268,008354e75f70dae6,0dc7ea74705571d8.html %V 73 %X An approach to prediction of denoising efficiency for DCT-based filter applied to images corrupted by signal-dependent noise is presented. This approach allows estimating quantitative criteria of filtering efficiency from one statistical parameter that can be quickly calculated for a given noisy image under condition that parameters of signal-dependent noise are a priori known or pre-estimated with appropriate accuracy. We demonstrate in this paper that the prediction approach is applicable to different types of signal-dependent noise. Besides, we show that the statistical parameter used for prediction can be calculated in different ways and this influences prediction accuracy. %8 2014-12-11