Omnidirectional Image Quality Assessment Database (OMNIQAD): Description and Examples
Marek Šimka, Ladislav Polák, Jan Kufa, Martin Novotný, Adam Zizien, Karel Fliegel · 2023
This paper introduces a public (OMNIQAD) database of omnidirectional (360°) images distorted by various ways and techniques, which can serve as a basic source for various research in the field of objective and subjective quality assessment of an immersive multimedia content. Compressionbased distortions were applied using traditional JPEG and several emerging image compression standards, for instance, HEIC, AVIF and JPEG XL. Other types of distortion included Gaussian and impulse noise. The database offers eleven reference omnidirectional images of different character (374 distorted images in total). For the evaluation of distorted and compressionbased corrupted images, several objective quality metrics were adopted. Link to a repository containing the resulting objective scores and the database of images are included in this paper.