Detail publikačního výsledku

Picture Quality of 360° Images Compressed by Emerging Compression Algorithms

ŠIMKA, M.; KUFA, J.; POLÁK, L.

Originální název

Picture Quality of 360° Images Compressed by Emerging Compression Algorithms

Anglický název

Picture Quality of 360° Images Compressed by Emerging Compression Algorithms

Druh

Stať ve sborníku v databázi WoS či Scopus

Originální abstrakt

Recently, interest about images and photos in omni-directional format (360°, field-of-view) are gradually increasing. To ensure high image quality at the transfer, storing and sharing of such images, advanced compression tools are required. This paper provides an objective-based comparison of emerging compression algorithms (JPEG XL, HEIC, AVIF), implemented in a graphic viewer and editor, for 360° images. For this purpose, four images from publicly available databases and two self-made images are used and compressed to different quality levels. Different objective metrics are used to evaluate the visual quality of images. Compared to the popular image-based compression algorithm JPEG, the emerging compression tools show high efficiency and applicability for omnidirectional images.

Anglický abstrakt

Recently, interest about images and photos in omni-directional format (360°, field-of-view) are gradually increasing. To ensure high image quality at the transfer, storing and sharing of such images, advanced compression tools are required. This paper provides an objective-based comparison of emerging compression algorithms (JPEG XL, HEIC, AVIF), implemented in a graphic viewer and editor, for 360° images. For this purpose, four images from publicly available databases and two self-made images are used and compressed to different quality levels. Different objective metrics are used to evaluate the visual quality of images. Compared to the popular image-based compression algorithm JPEG, the emerging compression tools show high efficiency and applicability for omnidirectional images.

Klíčová slova

Omnidirectional images (360°); image quality; objective assessment; image compression codecs; JPEG; JPEG XL; HEIC; AVIF

Klíčová slova v angličtině

Omnidirectional images (360°); image quality; objective assessment; image compression codecs; JPEG; JPEG XL; HEIC; AVIF

Autoři

ŠIMKA, M.; KUFA, J.; POLÁK, L.

Rok RIV

2023

Vydáno

21.04.2022

Nakladatel

Institute of Electrical and Electronics Engineers

ISBN

978-1-7281-8686-3

Kniha

32nd International Conference Radioelektronika

Strany od

166

Strany do

169

Strany počet

4

URL

https://ieeexplore.ieee.org/document/9764941

BibTex

@inproceedings{BUT177808,
  author="Marek {Šimka} and Jan {Kufa} and Ladislav {Polák}",
  title="Picture Quality of 360° Images Compressed by Emerging Compression Algorithms",
  booktitle="32nd International Conference Radioelektronika",
  year="2022",
  pages="166--169",
  publisher="Institute of Electrical and Electronics Engineers",
  doi="10.1109/RADIOELEKTRONIKA54537.2022.9764941",
  isbn="978-1-7281-8686-3",
  url="https://ieeexplore.ieee.org/document/9764941"
}

Dokumenty

Radioelektronika_2022__Codecs_for_360__Images