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Effect of RNS dynamic range on grayscale images filtering

In this paper we present the investigation results of RNS dynamic range effect on grayscale images filtering. We show how error occurs during filtering using RNS with insufficient dynamic range. Modelling of filtration with sharpening and edge detection filters demonstrates that the edge detection f...

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Главные авторы: Chervyakov, N. I., Червяков, Н. И., Lyakhov, P. A., Ляхов, П. А., Kalita, D. I., Калита, Д. И., Shulzhenko, K. S., Шульженко, К. С.
פורמט: Статья
שפה:English
יצא לאור: Institute of Electrical and Electronics Engineers Inc. 2018
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גישה מקוונת:https://www.scopus.com/record/display.uri?eid=2-s2.0-85013829069&origin=resultslist&sort=plf-f&src=s&nlo=&nlr=&nls=&sid=2d4e826478140d99650a215e37019390&sot=aff&sdt=cl&cluster=scopubyr%2c%222016%22%2ct&sl=174&s=AF-ID%28%22North+Caucasus+Federal+University%22+60070541%29+OR+AF-ID%28%22Stavropol+State+University%22+60070961%29+OR+AF-ID%28%22stavropolskij+Gosudarstvennyj+Tehniceskij+Universitet%22+60026323%29&relpos=3&citeCnt=0&searchTerm=
https://dspace.ncfu.ru/handle/20.500.12258/3165
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סיכום:In this paper we present the investigation results of RNS dynamic range effect on grayscale images filtering. We show how error occurs during filtering using RNS with insufficient dynamic range. Modelling of filtration with sharpening and edge detection filters demonstrates that the edge detection filters are less sensitive to insufficient RNS dynamic range. Quantitative evaluation of the simulation results with PSNR and SSIM showed applicability limits of different RNS for grayscale image filtering