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dc.contributor.authorLyakhov, P. A.-
dc.contributor.authorЛяхов, П. А.-
dc.contributor.authorNagornov, N. N.-
dc.contributor.authorНагорнов, Н. Н.-
dc.contributor.authorChervyakov, N. I.-
dc.contributor.authorЧервяков, Н. И.-
dc.date.accessioned2019-04-09T09:02:39Z-
dc.date.available2019-04-09T09:02:39Z-
dc.date.issued2019-
dc.identifier.citationLyakhov, P.A., Nagornov, N.N., Chervyakov, N.I., Kaplun, D.I. Analysis of the quantization noise of linear time-invariant filters for image processing // Proceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019. - 2019. - Номер статьи 8657315. - Pages 1192-1196ru
dc.identifier.urihttps://www.scopus.com/record/display.uri?eid=2-s2.0-85063492585&origin=resultslist&sort=plf-f&src=s&st1=Analysis+of+the+quantization+noise+of+linear+time-invariant+filters+for+image+processing&st2=&sid=c76897842a91164242fd9263806c89f4&sot=b&sdt=b&sl=103&s=TITLE-ABS-KEY%28Analysis+of+the+quantization+noise+of+linear+time-invariant+filters+for+image+processing%29&relpos=0&citeCnt=0&searchTerm=-
dc.identifier.urihttp://hdl.handle.net/20.500.12258/5085-
dc.description.abstractThe problem of quantization of the coefficients of arbitrary linear time-invariant filters in order to minimize the noise of this phenomenon is investigated in this paper. The implementation of the method of linear time-invariant filtration is proposed, which makes it possible to reduce the bit-width of the filter coefficients and simplify the performance of rounding operations. The analysis of the effect of the bit-width of the filter coefficients on the magnitude of the quantization noise and the resulting error of the filtration method being investigated is carried out. The formulas for determining the minimum bit-width of the filter coefficients, providing high quality of image processing, are derived, depending on the filter used. It is concluded that when using these formulas, the quantization noise that occurs when the filter coefficients are rounded off does not have a significant effect on the image processing resultru
dc.language.isoenru
dc.publisherInstitute of Electrical and Electronics Engineers Inc.ru
dc.relation.ispartofseriesProceedings of the 2019 IEEE Conference of Russian Young Researchers in Electrical and Electronic Engineering, ElConRus 2019-
dc.subjectDigital image processingru
dc.subjectFilter coefficientsru
dc.subjectFixed-point numbersru
dc.subjectImage filteringru
dc.subjectLinear time-invariant filterru
dc.subjectQuantization noiseru
dc.titleAnalysis of the quantization noise of linear time-invariant filters for image processingru
dc.typeСтатьяru
vkr.amountPages 1192-1196ru
vkr.instИнститут математики и естественных наук-
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