dc.contributor.author | Romanyuk, Olexandr | en |
dc.contributor.author | Romanyuk, Oksana | en |
dc.contributor.author | Romanyuk, Sergey | en |
dc.contributor.author | Titova, Nataliia | en |
dc.contributor.author | Zavalniuk, Evgeny | en |
dc.contributor.author | Романюк, О. Н. | uk |
dc.contributor.author | Романюк, О. В. | uk |
dc.contributor.author | Романюк, С. О. | uk |
dc.contributor.author | Тітова, Н. В. | uk |
dc.contributor.author | Завальнюк, Є. К. | uk |
dc.date.accessioned | 2023-06-01T14:03:20Z | |
dc.date.available | 2023-06-01T14:03:20Z | |
dc.date.issued | 2023 | |
dc.identifier.citation | Romanyuk Olexandr N., Romanyuk Oksana V., Romanyuk Sergey O., Titova Nataliia V., Zavalniuk Evgeny К. The analysis of subjective metrics and expert methods for image quality assessment. Intellektuelles Kapital - die Grundlage für innovative Entwicklung: Technik, Informatik, Landwirtschaft. Monografische Reihe «Europäische Wissenschaft». Buch 18. Teil 3. 2023. Chap. 7. Pp. 131-138. | en, de |
dc.identifier.isbn | 978-3-949059-81-0 | |
dc.identifier.uri | http://ir.lib.vntu.edu.ua//handle/123456789/37268 | |
dc.description.abstract | The paper provides an overview of the main subjective metrics and expert methods for image quality assessment. Four areas of application of subjective image metrics can be distinguished: quality assessment, impairment level assessment, difference selection, acceptance level assessment. Expert methods allow to determine the highest quality image from the set and estimate the weights of the image quality characteristics | en |
dc.language.iso | en | en |
dc.publisher | SWorld | en |
dc.relation.ispartof | Intellektuelles Kapital - die Grundlage für innovative Entwicklung: Technik, Informatik, Landwirtschaft. Buch 18. Teil 3. 7 : 131-138. | de |
dc.subject | Image Quality | en |
dc.subject | subjective metrics | en |
dc.title | The analysis of subjective metrics and expert methods for image quality assessment | en |
dc.type | Monograph | |