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| Title: | Video images compression and restoration methods based on optimal sampling |
| Issue Date: | Feb-2019 |
| Publisher: | Самарский национальный исследовательский университет им. акакдемика С.П. Королева, Институт систем обработки изображений РАН - филиал ФНИЦ «Кристаллография и фотоника» РАН |
| 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. |
| Series/Report no.: | 43;1 |
| 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. |
| URI: | https://dx.doi.org/10.18287/2412-6179-2019-43-1-115-122 http://repo.ssau.ru/jspui/handle/123456789/22445 |
| Appears in Collections: | Журнал "Компьютерная оптика" |
Files in This Item:
| File | Description | Size | Format | |
|---|---|---|---|---|
| 430114.pdf | Основная статья | 2.04 MB | Adobe PDF | View/Open |
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