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ŠIMKA, M. POLÁK, L. NOVOTNÝ, M. KUFA, J. FLIEGEL, K.
Originální název
Performance Evaluation of Objective Quality Assessment Methods for Omnidirectional Images Under Emerging Compressions
Typ
článek v časopise ve Web of Science, Jimp
Jazyk
angličtina
Originální abstrakt
This 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.
Klíčová slova
Image coding; Measurement; Visualization; Quality assessment; Codecs; Transform coding; Image quality; Observers; Image color analysis; Distortion; Omnidirectional image (360 degrees); 360-degree content; virtual reality; objective quality assessment; subjective test; perceptual image quality
Autoři
ŠIMKA, M.; POLÁK, L.; NOVOTNÝ, M.; KUFA, J.; FLIEGEL, K.
Vydáno
11. 10. 2024
Nakladatel
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Místo
PISCATAWAY
ISSN
2169-3536
Periodikum
IEEE Access
Ročník
12
Číslo
10
Stát
Spojené státy americké
Strany od
150419
Strany do
150429
Strany počet
11
URL
https://ieeexplore.ieee.org/document/10714248
BibTex
@article{BUT190075, author="Marek {Šimka} and Ladislav {Polák} and Martin {Novotný} and Jan {Kufa} and Karel {Fliegel}", title="Performance Evaluation of Objective Quality Assessment Methods for Omnidirectional Images Under Emerging Compressions", journal="IEEE Access", year="2024", volume="12", number="10", pages="150419--150429", doi="10.1109/ACCESS.2024.3478793", issn="2169-3536", url="https://ieeexplore.ieee.org/document/10714248" }