Result Details

Comparison of Lossless Image Formats

BAŘINA, D. Comparison of Lossless Image Formats. In WSCG 2021 Proceedings. Computer Science Research Notes. Plzen: Union Agency, 2021. p. 339-342. ISBN: 978-80-86943-34-3.
Type
conference paper
Language
English
Authors
Bařina David, Ing., Ph.D., DCGM (FIT)
Abstract

In recent years, a bag with image and video compression formats has been torn. However, most of them are focused on lossy compression and only marginally support the lossless mode. In this paper, I will focus on lossless formats and the critical question: "Which one is the most efficient?" It turned out that FLIF is currently the most efficient format for lossless image compression. This finding is in contrast to that FLIF developers stopped its development in favor of JPEG XL.

Keywords

Lossless Image Compression, PNG, JPEG-LS, JPEG 2000, JPEG XR, WebP, WebP 2, H.265, FLIF, AVIF, JPEG XL

Published
2021
Pages
339–342
Proceedings
WSCG 2021 Proceedings
Series
Computer Science Research Notes
Volume
3101
Conference
29. International Conference in Central Europe on Computer Graphics, Visualization and Computer Vision'2021
ISBN
978-80-86943-34-3
Publisher
Union Agency
Place
Plzen
DOI
10.24132/CSRN.2021.3002.38
EID Scopus
2-s2.0-85125394522
BibTeX 
@inproceedings{BUT175817,
  author="David {Bařina}",
  title="Comparison of Lossless Image Formats",
  booktitle="WSCG 2021 Proceedings",
  year="2021",
  series="Computer Science Research Notes",
  volume="3101",
  pages="339--342",
  publisher="Union Agency",
  address="Plzen",
  doi="10.24132/CSRN.2021.3002.38",
  isbn="978-80-86943-34-3",
  url="https://www.fit.vut.cz/research/publication/12567/"
}
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Projects
AI for Traffic and Industry Vision, TAČR, Program na podporu aplikovaného výzkumu a experimentálního vývoje EPSILON (2015-2025), TH04010144, start: 2019-09-01, end: 2021-11-30, completed
Moderní metody zpracování, analýzy a zobrazování multimediálních a 3D dat, BUT, Vnitřní projekty VUT, FIT-S-20-6460, start: 2020-03-01, end: 2023-02-28, completed
Progressive Image Processing Algorithms, TAČR, Program na podporu aplikovaného výzkumu a experimentálního vývoje EPSILON (2015-2025), TH04010394, start: 2018-10-01, end: 2021-08-31, completed
Research groups
Computer Graphics Research Group (RG GRAPH)
Departments
Department of Computer Graphics and Multimedia (DCGM)
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