Performance Evaluation of Objective Quality Assessment Methods for Omnidirectional Images Under Emerging Compressions

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dc.contributor.authorŠimka, Marekcs
dc.contributor.authorPolák, Ladislavcs
dc.contributor.authorNovotný, Martincs
dc.contributor.authorKufa, Jancs
dc.contributor.authorFliegel, Karelcs
dc.coverage.issue10cs
dc.coverage.volume12cs
dc.date.issued2024-10-11cs
dc.description.abstractThis paper presents a unique study of objective and subjective image quality assessment (IQA) of 360 degrees images, distorted by emerging and legacy compressions - AV1 Image File Format (AVIF), Joint Photographic Experts Group (JPEG), High Efficiency Image File Format (HEIC), JPEG XL from the cross-lab experiments carried out by two universities. The performance evaluation of objective conventional IQA methods relied on statistical data analysis employing not only traditional approaches with correlation coefficients but also advanced techniques such as Receiver Operating Characteristic (ROC) analysis, which offers several statistical advantages. The comprehensive statistical examination presented, utilizing an outcome from the subjective experiment with 66 observers, confirmed that the performance of specific IQA metrics depends not only on the image features but also on the applied image compression algorithm. Overall, the study examined nine IQA objective metrics. For instance, when evaluating distortion caused by the AVIF and HEIC codecs, the Multi-Scale Structural Similarity (MS-SSIM) metric exhibited the best performance, while the Feature Similarity chrominance (FSIMc) metric excelled in assessing JPEG-based compressions. Additionally, detailed outcomes of the subjective experiments, including eye-tracking data, are available in a public dataset. This study provides previously unexplored insights into the performance of conventional objective metrics for 360 degrees images degraded by emerging image codecs. The presented results suggest suitable metrics for specific application scenarios (codecs) and, along with the dataset, lay the groundwork for further research on new objective quality assessment methods for omnidirectional images under emerging compressions.en
dc.formattextcs
dc.format.extent150419-150429cs
dc.format.mimetypeapplication/pdfcs
dc.identifier.citationIEEE Access. 2024, vol. 12, issue 10, p. 150419-150429.en
dc.identifier.doi10.1109/ACCESS.2024.3478793cs
dc.identifier.issn2169-3536cs
dc.identifier.orcid0000-0002-7958-834Xcs
dc.identifier.orcid0000-0001-7084-6210cs
dc.identifier.orcid0000-0002-3784-5707cs
dc.identifier.other190075cs
dc.identifier.scopus36167253100cs
dc.identifier.scopus56880305800cs
dc.identifier.urihttp://hdl.handle.net/11012/249746
dc.language.isoencs
dc.publisherIEEEcs
dc.relation.ispartofIEEE Accesscs
dc.relation.urihttps://ieeexplore.ieee.org/document/10714248cs
dc.rightsCreative Commons Attribution-NonCommercial-NoDerivatives 4.0 Internationalcs
dc.rights.accessopenAccesscs
dc.rights.sherpahttp://www.sherpa.ac.uk/romeo/issn/2169-3536/cs
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/cs
dc.subjectImage codingen
dc.subjectMeasurementen
dc.subjectVisualizationen
dc.subjectQuality assessmenten
dc.subjectCodecsen
dc.subjectTransform codingen
dc.subjectImage qualityen
dc.subjectObserversen
dc.subjectImage color analysisen
dc.subjectDistortionen
dc.subjectOmnidirectional image (360 degrees)en
dc.subject360-degree contenten
dc.subjectvirtual realityen
dc.subjectobjective quality assessmenten
dc.subjectsubjective testen
dc.subjectperceptual image qualityen
dc.titlePerformance Evaluation of Objective Quality Assessment Methods for Omnidirectional Images Under Emerging Compressionsen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
sync.item.dbidVAV-190075en
sync.item.dbtypeVAVen
sync.item.insts2025.02.03 15:41:54en
sync.item.modts2025.01.17 16:38:02en
thesis.grantorVysoké učení technické v Brně. Fakulta elektrotechniky a komunikačních technologií. Ústav radioelektronikycs
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