Influence of the distortion type on the image quality assessment when reducing its sizes

In this paper, the influence of various types of distortion of an image on its quality while reducing its sizes, is investigated. To assess the image quality, it is proposed to use the method of comparison with the standard using a previously developed measure based on the proximity of the values of...

Full description

Saved in:
Bibliographic Details
Main Authors: D. G. Asatryan, M. E. Harutyunyan, Y. I. Golub, V. V. Starovoitov
Format: Article
Language:English
Published: Belarusian National Technical University 2020-09-01
Series:Системный анализ и прикладная информатика
Subjects:
Online Access:https://sapi.bntu.by/jour/article/view/480
Tags: Add Tag
No Tags, Be the first to tag this record!
_version_ 1832543631407316992
author D. G. Asatryan
M. E. Harutyunyan
Y. I. Golub
V. V. Starovoitov
author_facet D. G. Asatryan
M. E. Harutyunyan
Y. I. Golub
V. V. Starovoitov
author_sort D. G. Asatryan
collection DOAJ
description In this paper, the influence of various types of distortion of an image on its quality while reducing its sizes, is investigated. To assess the image quality, it is proposed to use the method of comparison with the standard using a previously developed measure based on the proximity of the values of the parameters of the Weibull distribution, which describes the gradient field of the image. The well-known TID2013 image database was used as the material, which includes 3000 images distorted by 24 types of distorting algorithms with five levels. Each image of the base was reduced by 2, 4 and 8 times by the two most common methods and compared with the original image-original. The calculations were performed for five types of distortions implemented in the database. To make a decision on the acceptability of the applied quality measure, the calculated measure values were compared with the subjective quality ratings provided along with the documentation on the TID2013 database. The comparison was carried out using Spearman’s correlation coefficient. It is shown that the average values of correlations for all images at three types of distortions are very high, while for the other two they are unacceptably low. An attempt has been made to explain this situation by the properties of distorting algorithms that change the structural properties of the image to varying degrees.The possibility of comparing images of the same scene, but with different resolutions, is demonstrated.
format Article
id doaj-art-483c87b67883425aac35528726a17b3f
institution Kabale University
issn 2309-4923
2414-0481
language English
publishDate 2020-09-01
publisher Belarusian National Technical University
record_format Article
series Системный анализ и прикладная информатика
spelling doaj-art-483c87b67883425aac35528726a17b3f2025-02-03T11:37:39ZengBelarusian National Technical UniversityСистемный анализ и прикладная информатика2309-49232414-04812020-09-0103222710.21122/2309-4923-2020-3-22-27363Influence of the distortion type on the image quality assessment when reducing its sizesD. G. Asatryan0M. E. Harutyunyan1Y. I. Golub2V. V. Starovoitov3Institute for Informatics and Automation Problems of the National Academy of Sciences of Armenia; Russian-Armenian universityInstitute for Informatics and Automation Problems of the National Academy of Sciences of ArmeniaUnited institute of informatics problems of the National Academy of Sciences of BelarusUnited institute of informatics problems of the National Academy of Sciences of BelarusIn this paper, the influence of various types of distortion of an image on its quality while reducing its sizes, is investigated. To assess the image quality, it is proposed to use the method of comparison with the standard using a previously developed measure based on the proximity of the values of the parameters of the Weibull distribution, which describes the gradient field of the image. The well-known TID2013 image database was used as the material, which includes 3000 images distorted by 24 types of distorting algorithms with five levels. Each image of the base was reduced by 2, 4 and 8 times by the two most common methods and compared with the original image-original. The calculations were performed for five types of distortions implemented in the database. To make a decision on the acceptability of the applied quality measure, the calculated measure values were compared with the subjective quality ratings provided along with the documentation on the TID2013 database. The comparison was carried out using Spearman’s correlation coefficient. It is shown that the average values of correlations for all images at three types of distortions are very high, while for the other two they are unacceptably low. An attempt has been made to explain this situation by the properties of distorting algorithms that change the structural properties of the image to varying degrees.The possibility of comparing images of the same scene, but with different resolutions, is demonstrated.https://sapi.bntu.by/jour/article/view/480digital imageimage quality assessmentimage reductionimage resolutionspearman correlationweibull distribution.
spellingShingle D. G. Asatryan
M. E. Harutyunyan
Y. I. Golub
V. V. Starovoitov
Influence of the distortion type on the image quality assessment when reducing its sizes
Системный анализ и прикладная информатика
digital image
image quality assessment
image reduction
image resolution
spearman correlation
weibull distribution.
title Influence of the distortion type on the image quality assessment when reducing its sizes
title_full Influence of the distortion type on the image quality assessment when reducing its sizes
title_fullStr Influence of the distortion type on the image quality assessment when reducing its sizes
title_full_unstemmed Influence of the distortion type on the image quality assessment when reducing its sizes
title_short Influence of the distortion type on the image quality assessment when reducing its sizes
title_sort influence of the distortion type on the image quality assessment when reducing its sizes
topic digital image
image quality assessment
image reduction
image resolution
spearman correlation
weibull distribution.
url https://sapi.bntu.by/jour/article/view/480
work_keys_str_mv AT dgasatryan influenceofthedistortiontypeontheimagequalityassessmentwhenreducingitssizes
AT meharutyunyan influenceofthedistortiontypeontheimagequalityassessmentwhenreducingitssizes
AT yigolub influenceofthedistortiontypeontheimagequalityassessmentwhenreducingitssizes
AT vvstarovoitov influenceofthedistortiontypeontheimagequalityassessmentwhenreducingitssizes