Omnidirectional Image Quality Assessment Database (OMNIQAD): Description and Examples

2023 33rd International Conference Radioelektronika (RADIOELEKTRONIKA)(2023)

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摘要
This paper introduces a public (OMNIQAD) database of omnidirectional (360 degrees) 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. Compression-based 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 compression-based 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.
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关键词
Omnidirectional images (360 degrees),VR database,quality assessment,immersive content,image compression,image distortion,JPEG,JPEG XL,HEIC,AVIF
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