msiСовременная наука и инновацииModern Science and Innovations2307-910XNorth-Caucasus Federal Universitymsi-570Research ArticleТЕХНИЧЕСКИЕ НАУКИENGINEERING SCIENCESАНАЛИЗ ШУМА КВАНТОВАНИЯ ЛИНЕЙНЫХ СТАЦИОНАРНЫХ ФИЛЬТРОВ ОБРАБОТКИ ИЗОБРАЖЕНИЙTHE ANALYSIS OF THE NOISE OF QUANTIZATION OF LINEAR STATIONARY FILTERS OF IMAGE PROCESSINGЧервяковНиколай ИвановичChervyakovNikolay Ivanovichncherviakov@ncfu.ruЛяховПавел АлексеевичLyakhovPavel Alekseevichljahov@mail.ruНагорновНиколай НиколаевичNagornovNikolay Nikolaevichsparta1392@mail.ruСеверо-Кавказский федеральный университетРоссияNorth-Caucasus Federal UniversityRussian Federation201811102022022734Copyright © Червяков Н.И., Ляхов П.А., Нагорнов Н.Н., 20222022Червяков Н.И., Ляхов П.А., Нагорнов Н.Н.Chervyakov N.I., Lyakhov P.A., Nagornov N.N.Данная работа распространяется под лицензией Creative Commons Attribution 4.0.This work is licensed under a Creative Commons Attribution 4.0 License.https://msi.elpub.ru/jour/article/view/570

В статье исследован вопрос о квантовании коэффициентов произвольных линейных стационарных фильтров для минимизации шума этого явления и эффективной аппаратной реализации методов цифровой обработки изображений. Предложена реализация метода линейной стационарной фильтрации, позволяющая уменьшить разрядность коэффициентов фильтров и упростить выполнение операций округления.

The problem of quantization of the coefficients of arbitrary linear stationary filters in order to minimize the noise of this phenomenon and efficient hardware implementation of digital image processing methods is investigated in the paper. The implementation of the method of linear stationary filtration is proposed, which makes it possible to reduce the number of filter coefficients and simplify the performance of rounding operations.

цифровая обработка изображенийфильтрация изображенийлинейный стационарный фильтршум квантованияразрядность коэффициентов фильтраформат с фиксированной точкойdigital image processingimage filteringlinear stationary filterquantization noisefilter coefficientsfixed-point formatReferencesGonzalez R. C. Digital Image Processing, 3rd ed. / R. C. Gonzalez, R. E. Woods. Prentice Hall, 2007. 976 p.Gonzalez R. C. Digital Image Processing, 3rd ed. / R. C. Gonzalez, R. E. Woods. Prentice Hall, 2007. 976 p.Bovik A. C. Handbook of image and video processing, 2nd ed. / A.C. Bovik. Elsevier Academic Press, 2005. 1429 p.Bovik A. C. Handbook of image and video processing, 2nd ed. / A.C. Bovik. Elsevier Academic Press, 2005. 1429 p.Shih F. Y. Image Processing and Pattern Recognition: Fundamentals and Techniques / Wiley-IEEE Press, 2010. 552 p.Shih F. Y. Image Processing and Pattern Recognition: Fundamentals and Techniques / Wiley-IEEE Press, 2010. 552 p.Bailey G. 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The authors declare that there are no conflicts of interest present.