| dc.rights.license | Visos teisės saugomos / All rights reserved | en_US |
| dc.contributor.author | Smelyakov, Kirill | |
| dc.contributor.author | Chupryna, Anastasiya | |
| dc.contributor.author | Hvozdiev, Mykyta | |
| dc.contributor.author | Sandrkin, Denys | |
| dc.date.accessioned | 2025-12-10T11:15:07Z | |
| dc.date.available | 2025-12-10T11:15:07Z | |
| dc.date.issued | 2019 | |
| dc.identifier.isbn | 9781728125008 | en_US |
| dc.identifier.uri | https://etalpykla.vilniustech.lt/handle/123456789/159512 | |
| dc.description.abstract | The presented article describes the most popular unified models of gradation correction of a darkened digital image, makes a comparative analysis of the effectiveness of these models, formulates practical recommendations for using the considered models of gradation correction when solving actual applied problems of improving the quality of darkened digital images. | en_US |
| dc.format.extent | 6 p. | en_US |
| dc.format.medium | Tekstas / Text | en_US |
| dc.language.iso | en | en_US |
| dc.relation.uri | https://etalpykla.vilniustech.lt/handle/123456789/159393 | en_US |
| dc.source.uri | https://ieeexplore.ieee.org/document/8732174 | en_US |
| dc.subject | image processing | en_US |
| dc.subject | image enhancement | en_US |
| dc.subject | gradational correction model | en_US |
| dc.subject | efficiency estimation | en_US |
| dc.title | Gradational Correction Models Efficiency Analysis of Low-Light Digital Image | en_US |
| dc.type | Konferencijos publikacija / Conference paper | en_US |
| dcterms.accrualMethod | Rankinis pateikimas / Manual submission | en_US |
| dcterms.issued | 2019-06-06 | |
| dcterms.references | 10 | en_US |
| dc.description.version | Taip / Yes | en_US |
| dc.contributor.institution | Kharkiv National University of Radio Electronics | en_US |
| dcterms.sourcetitle | 2019 Open Conference of Electrical, Electronic and Information Sciences (eStream), April 25, 2019, Vilnius, Lithuania | en_US |
| dc.identifier.eisbn | 9781728124995 | en_US |
| dc.publisher.name | IEEE | en_US |
| dc.publisher.country | United States of America | en_US |
| dc.publisher.city | New York | en_US |
| dc.identifier.doi | https://doi.org/10.1109/eStream.2019.8732174 | en_US |
