Entropy-Based Combined Metric for Automatic Objective Quality Assessment of Stitched Panoramic Images

Quality assessment of stitched images is an important element of many virtual reality and remote sensing applications where the panoramic images may be used as a background as well as for navigation purposes. The quality of stitched images may be decreased by several factors, including geometric dis...

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Autores principales:	Krzysztof Okarma, Wojciech Chlewicki, Mateusz Kopytek, Beata Marciniak, Vladimir Lukin
Formato:	article
Lenguaje:	EN
Publicado:	MDPI AG 2021
Materias:	image quality assessment stitched images panoramic images image analysis image entropy Science Q Astrophysics QB460-466 Physics QC1-999
Acceso en línea:	https://doaj.org/article/26109e4627024f86b4099eb8f8ffc7d8
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id	oai:doaj.org-article:26109e4627024f86b4099eb8f8ffc7d8
record_format	dspace
spelling	oai:doaj.org-article:26109e4627024f86b4099eb8f8ffc7d82021-11-25T17:30:31ZEntropy-Based Combined Metric for Automatic Objective Quality Assessment of Stitched Panoramic Images10.3390/e231115251099-4300https://doaj.org/article/26109e4627024f86b4099eb8f8ffc7d82021-11-01T00:00:00Zhttps://www.mdpi.com/1099-4300/23/11/1525https://doaj.org/toc/1099-4300Quality assessment of stitched images is an important element of many virtual reality and remote sensing applications where the panoramic images may be used as a background as well as for navigation purposes. The quality of stitched images may be decreased by several factors, including geometric distortions, ghosting, blurring, and color distortions. Nevertheless, the specificity of such distortions is different than those typical for general-purpose image quality assessment. Therefore, the necessity of the development of new objective image quality metrics for such type of emerging applications becomes obvious. The method proposed in the paper is based on the combination of features used in some recently proposed metrics with the results of the local and global image entropy analysis. The results obtained applying the proposed combined metric have been verified using the ISIQA database, containing 264 stitched images of 26 scenes together with the respective subjective Mean Opinion Scores, leading to a significant increase of its correlation with subjective evaluation results.Krzysztof OkarmaWojciech ChlewickiMateusz KopytekBeata MarciniakVladimir LukinMDPI AGarticleimage quality assessmentstitched imagespanoramic imagesimage analysisimage entropyScienceQAstrophysicsQB460-466PhysicsQC1-999ENEntropy, Vol 23, Iss 1525, p 1525 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	image quality assessment stitched images panoramic images image analysis image entropy Science Q Astrophysics QB460-466 Physics QC1-999
spellingShingle	image quality assessment stitched images panoramic images image analysis image entropy Science Q Astrophysics QB460-466 Physics QC1-999 Krzysztof Okarma Wojciech Chlewicki Mateusz Kopytek Beata Marciniak Vladimir Lukin Entropy-Based Combined Metric for Automatic Objective Quality Assessment of Stitched Panoramic Images
description	Quality assessment of stitched images is an important element of many virtual reality and remote sensing applications where the panoramic images may be used as a background as well as for navigation purposes. The quality of stitched images may be decreased by several factors, including geometric distortions, ghosting, blurring, and color distortions. Nevertheless, the specificity of such distortions is different than those typical for general-purpose image quality assessment. Therefore, the necessity of the development of new objective image quality metrics for such type of emerging applications becomes obvious. The method proposed in the paper is based on the combination of features used in some recently proposed metrics with the results of the local and global image entropy analysis. The results obtained applying the proposed combined metric have been verified using the ISIQA database, containing 264 stitched images of 26 scenes together with the respective subjective Mean Opinion Scores, leading to a significant increase of its correlation with subjective evaluation results.
format	article
author	Krzysztof Okarma Wojciech Chlewicki Mateusz Kopytek Beata Marciniak Vladimir Lukin
author_facet	Krzysztof Okarma Wojciech Chlewicki Mateusz Kopytek Beata Marciniak Vladimir Lukin
author_sort	Krzysztof Okarma
title	Entropy-Based Combined Metric for Automatic Objective Quality Assessment of Stitched Panoramic Images
title_short	Entropy-Based Combined Metric for Automatic Objective Quality Assessment of Stitched Panoramic Images
title_full	Entropy-Based Combined Metric for Automatic Objective Quality Assessment of Stitched Panoramic Images
title_fullStr	Entropy-Based Combined Metric for Automatic Objective Quality Assessment of Stitched Panoramic Images
title_full_unstemmed	Entropy-Based Combined Metric for Automatic Objective Quality Assessment of Stitched Panoramic Images
title_sort	entropy-based combined metric for automatic objective quality assessment of stitched panoramic images
publisher	MDPI AG
publishDate	2021
url	https://doaj.org/article/26109e4627024f86b4099eb8f8ffc7d8
work_keys_str_mv	AT krzysztofokarma entropybasedcombinedmetricforautomaticobjectivequalityassessmentofstitchedpanoramicimages AT wojciechchlewicki entropybasedcombinedmetricforautomaticobjectivequalityassessmentofstitchedpanoramicimages AT mateuszkopytek entropybasedcombinedmetricforautomaticobjectivequalityassessmentofstitchedpanoramicimages AT beatamarciniak entropybasedcombinedmetricforautomaticobjectivequalityassessmentofstitchedpanoramicimages AT vladimirlukin entropybasedcombinedmetricforautomaticobjectivequalityassessmentofstitchedpanoramicimages
_version_	1718412273319411712

Entropy-Based Combined Metric for Automatic Objective Quality Assessment of Stitched Panoramic Images

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