Publication detail

Picture Quality of 360° Images Compressed by Emerging Compression Algorithms

ŠIMKA, M. KUFA, J. POLÁK, L.

Original Title

Picture Quality of 360° Images Compressed by Emerging Compression Algorithms

Type

conference paper

Language

English

Original Abstract

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.

Keywords

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

Authors

ŠIMKA, M.; KUFA, J.; POLÁK, L.

Released

21. 4. 2022

Publisher

Institute of Electrical and Electronics Engineers

ISBN

978-1-7281-8686-3

Book

32nd International Conference Radioelektronika

Pages from

166

Pages to

169

Pages count

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"
}