Please use this identifier to cite or link to this item: http://edoc.bseu.by:8080/handle/edoc/85023
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dc.contributor.authorPopov, S. A.-
dc.date.accessioned2020-11-10T14:04:47Z-
dc.date.available2020-11-10T14:04:47Z-
dc.date.issued2001-
dc.identifier.citationPopov, S. A. Multiresponse regression models for digital image processing / S. A. Popov // Информационные сети, системы и технологии = Information Networks, Systems and Technologies : в 3 кн. Кн.1 : Труды международной конференции ICINASTe'2001, Минск, 2-4 октября 2001 г. : на англ. яз. / Ред.: А.Н. Морозевич [и др.]. - Мн. : БГЭУ, 2001. - С. 226-229.ru_RU
dc.identifier.isbn985-426-692-3-
dc.identifier.urihttp://edoc.bseu.by:8080/handle/edoc/85023-
dc.description.abstractMultiresponse regression model basics for digital image processing are described. The models are used for color correction and restoration. Computational procedures for model discrimination, coefficient estimation, and model adequacy verification are presented taking into consideration digitization of the color coordinates.ru_RU
dc.languageАнглийский-
dc.language.isoenru_RU
dc.publisherБелорусский государственный экономический университетru_RU
dc.subjectобработка изображенийru_RU
dc.subjectмножественная регрессияru_RU
dc.subjectцветокоррекцияru_RU
dc.subjectimage processingru_RU
dc.subjectcolor correctionru_RU
dc.titleMultiresponse regression models for digital image processingru_RU
dc.typeArticleru_RU
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