PARAMETERS OF THE CURVE OF LOCAL ESTIMATE DISTRIBUTION AS IMAGE QUALITY MEASURES
This article focuses on selecting the best quality image from the series without the reference image. The results of studies of a new approach to digital image quality assessment, based on the local quality estimates distribution, are presented. One of the parameters of such a distribution is propos...
| Main Authors: | , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Belarusian National Technical University
2018-10-01
|
| Series: | Sistemnyj Analiz i Prikladnaâ Informatika |
| Subjects: | |
| Online Access: | https://sapi.bntu.by/jour/article/view/222 |
| _version_ | 1797873721360252928 |
|---|---|
| author | F. V. Starovoitov V. V. Starovoitov |
| author_facet | F. V. Starovoitov V. V. Starovoitov |
| author_sort | F. V. Starovoitov |
| collection | DOAJ |
| description | This article focuses on selecting the best quality image from the series without the reference image. The results of studies of a new approach to digital image quality assessment, based on the local quality estimates distribution, are presented. One of the parameters of such a distribution is proposed to be used as a measure of image quality. 16 quality measures of the images described in the scientific literature have been selected. It is shown that the scale parameter of the Weibull distribution is a more accurate global quality measure for the set of local estimates than the mean value. A number of experiments have been carried out to confirm the correctness of such an estimate and its correlation with visual estimates of image quality. Such estimates are very important for a) quality assessment of automatically generated photographs, b) selection of parameters for enhancement-oriented image transformations, such as brightness changes, compression of the dynamic range of brightness, conversion to the grayscale representation, and others. |
| first_indexed | 2024-04-10T01:20:41Z |
| format | Article |
| id | doaj.art-760208cc67814ff3852953415fe393fe |
| institution | Directory Open Access Journal |
| issn | 2309-4923 2414-0481 |
| language | English |
| last_indexed | 2024-04-10T01:20:41Z |
| publishDate | 2018-10-01 |
| publisher | Belarusian National Technical University |
| record_format | Article |
| series | Sistemnyj Analiz i Prikladnaâ Informatika |
| spelling | doaj.art-760208cc67814ff3852953415fe393fe2023-03-13T09:47:41ZengBelarusian National Technical UniversitySistemnyj Analiz i Prikladnaâ Informatika2309-49232414-04812018-10-0103264110.21122/2309-4923-2018-3-26-41169PARAMETERS OF THE CURVE OF LOCAL ESTIMATE DISTRIBUTION AS IMAGE QUALITY MEASURESF. V. Starovoitov0V. V. Starovoitov1Белорусский национальный технический университетОбъединенный институт проблем информатики НАН БеларусиThis article focuses on selecting the best quality image from the series without the reference image. The results of studies of a new approach to digital image quality assessment, based on the local quality estimates distribution, are presented. One of the parameters of such a distribution is proposed to be used as a measure of image quality. 16 quality measures of the images described in the scientific literature have been selected. It is shown that the scale parameter of the Weibull distribution is a more accurate global quality measure for the set of local estimates than the mean value. A number of experiments have been carried out to confirm the correctness of such an estimate and its correlation with visual estimates of image quality. Such estimates are very important for a) quality assessment of automatically generated photographs, b) selection of parameters for enhancement-oriented image transformations, such as brightness changes, compression of the dynamic range of brightness, conversion to the grayscale representation, and others.https://sapi.bntu.by/jour/article/view/222оценка качества изображенияnr-мерагамма-коррекциялинейное изменение яркостиконтрастфокусное расстояниеразмытиераспределение вейбулла |
| spellingShingle | F. V. Starovoitov V. V. Starovoitov PARAMETERS OF THE CURVE OF LOCAL ESTIMATE DISTRIBUTION AS IMAGE QUALITY MEASURES Sistemnyj Analiz i Prikladnaâ Informatika оценка качества изображения nr-мера гамма-коррекция линейное изменение яркости контраст фокусное расстояние размытие распределение вейбулла |
| title | PARAMETERS OF THE CURVE OF LOCAL ESTIMATE DISTRIBUTION AS IMAGE QUALITY MEASURES |
| title_full | PARAMETERS OF THE CURVE OF LOCAL ESTIMATE DISTRIBUTION AS IMAGE QUALITY MEASURES |
| title_fullStr | PARAMETERS OF THE CURVE OF LOCAL ESTIMATE DISTRIBUTION AS IMAGE QUALITY MEASURES |
| title_full_unstemmed | PARAMETERS OF THE CURVE OF LOCAL ESTIMATE DISTRIBUTION AS IMAGE QUALITY MEASURES |
| title_short | PARAMETERS OF THE CURVE OF LOCAL ESTIMATE DISTRIBUTION AS IMAGE QUALITY MEASURES |
| title_sort | parameters of the curve of local estimate distribution as image quality measures |
| topic | оценка качества изображения nr-мера гамма-коррекция линейное изменение яркости контраст фокусное расстояние размытие распределение вейбулла |
| url | https://sapi.bntu.by/jour/article/view/222 |
| work_keys_str_mv | AT fvstarovoitov parametersofthecurveoflocalestimatedistributionasimagequalitymeasures AT vvstarovoitov parametersofthecurveoflocalestimatedistributionasimagequalitymeasures |