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Volume: 20 | Article ID: 34
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Benchmarking Lossless Still Image Codecs: Perspectives on Selected Compression Standards From 1992 through 2022
Michael J. Bennett
  Michael J. Bennett
Affiliation
University of Connecticut, US
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  DOI :  10.2352/issn.2168-3204.2023.20.1.34  Published Online :  June 2023
Abstract
Abstract

As complementary technologies evolve, data compression continues to be a foundational aspect of growing digital collections. In this study, selected lossless still image codecs from 1992 through 2022 were benchmarked across a variety of efficiency and performance measures using reference images from cultural heritage. Additionally, entropy estimates were calculated by source image to assist in characterizing image information and evaluating encoder efficiency against assessed feasible compression limits. Encoder designs and compression techniques were also examined in the context of the study's measured results.

Journal Title : Archiving Conference
Publisher Name : Society for Imaging Science and Technology
Publisher Location : IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA
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 DOI 10.2352/issn.2168-3204.2023.20.1.34
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Michael J. Bennett, "Benchmarking Lossless Still Image Codecs: Perspectives on Selected Compression Standards From 1992 through 2022"  in Archiving Conference,  2023,  pp 165 - 171,  https://doi.org/10.2352/issn.2168-3204.2023.20.1.34

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Copyright This work is licensed under the Creative Commons Attribution 4.0 International License. 2023
archiving
Archiving Conference
2161-8798
2161-8798
Society for Imaging Science and Technology
IS&T 7003 Kilworth Lane, Springfield, VA 22151 USA
10.2352/issn.2168-3204.2023.20.1.34
34
Article
Benchmarking Lossless Still Image Codecs: Perspectives on Selected Compression Standards From 1992 through 2022
BennettMichael J.
University of Connecticut, US
Abstract
As complementary technologies evolve, data compression continues to be a foundational aspect of growing digital collections. In this study, selected lossless still image codecs from 1992 through 2022 were benchmarked across a variety of efficiency and performance measures using reference images from cultural heritage. Additionally, entropy estimates were calculated by source image to assist in characterizing image information and evaluating encoder efficiency against assessed feasible compression limits. Encoder designs and compression techniques were also examined in the context of the study's measured results.
19062023
20
ARCH
Archiving 2023 Final Program and Proceedings
1
165
171
This work is licensed under the Creative Commons Attribution 4.0 International License.
2023
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