Picture Quality of 360° Images Compressed by Emerging Compression Algorithms

Kód výsledku v IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F22%3APU144491" target="_blank" >RIV/00216305:26220/22:PU144491 - isvavai.cz</a>

Výsledek na webu

<a href="https://ieeexplore.ieee.org/document/9764941" target="_blank" >https://ieeexplore.ieee.org/document/9764941</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/RADIOELEKTRONIKA54537.2022.9764941" target="_blank" >10.1109/RADIOELEKTRONIKA54537.2022.9764941</a>

Jazyk výsledku

angličtina

Název v původním jazyce

Picture Quality of 360° Images Compressed by Emerging Compression Algorithms

Popis výsledku v původním jazyce

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.

Název v anglickém jazyce

Picture Quality of 360° Images Compressed by Emerging Compression Algorithms

Popis výsledku anglicky

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.

Druh

D - Stať ve sborníku

CEP obor

—

OECD FORD obor

20201 - Electrical and electronic engineering

Projekt

—

Návaznosti

S - Specificky vyzkum na vysokych skolach

Rok uplatnění

2022

Kód důvěrnosti údajů

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Název statě ve sborníku

32nd International Conference Radioelektronika

ISBN

978-1-7281-8686-3

ISSN

—

e-ISSN

—

Počet stran výsledku

4

Strana od-do

166-169

Název nakladatele

Institute of Electrical and Electronics Engineers

Místo vydání

neuveden

Místo konání akce

Košice

Datum konání akce

21. 4. 2022

Typ akce podle státní příslušnosti

WRD - Celosvětová akce

Kód UT WoS článku

000856002200035