Video images compression and restoration methods based on optimal sampling

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DC Field	Value	Language
dc.date	2019-02
dc.date.accessioned	2025-08-27T05:20:26Z	-
dc.date.available	2025-08-27T05:20:26Z	-
dc.date.issued	2019-02
dc.identifier.identifier	Dspace\SGAU\20190324\74820
dc.identifier.citation	Drynkin, V.N. Video images compression and restoration methods based on optimal sampling / V.N. Drynkin, S.A. Nabokov, T.I. Tsareva // Computer Optics. - 2019. - Vol. 43, Issue 1. - P. 115-122. - DOI: 10.18287/2412-6179-2019-43-1-115-122.
dc.identifier.uri	https://dx.doi.org/10.18287/2412-6179-2019-43-1-115-122
dc.identifier.uri	http://repo.ssau.ru/jspui/handle/123456789/22445	-
dc.description.abstract	The study proposes video images compression and restoration methods based on multidimensional sampling theory that provide four-fold video compression and subsequent real-time restoration with loss levels below visually perceptible threshold. The proposed methods can be used separately or along with any other video compression techniques, thus providing additional quadruple compression.
dc.language	en
dc.publisher	Самарский национальный исследовательский университет им. акакдемика С.П. Королева, Институт систем обработки изображений РАН - филиал ФНИЦ «Кристаллография и фотоника» РАН
dc.relation.ispartofseries	43;1
dc.title	Video images compression and restoration methods based on optimal sampling
dc.type	Article
dc.identifier.scsti	47.41.29
local.identifier.olduri	http://repo.ssau.ru/handle/Zhurnal-Komputernaya-optika/Video-images-compression-and-restoration-methods-based-on-optimal-sampling-74820
local.identifier.olduri	http://repo.ssau.ru/handle/Zhurnal-Komputernaya-optika/Video-images-compression-and-restoration-methods-based-on-optimal-sampling-74820
Appears in Collections:	Журнал "Компьютерная оптика"

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