Entropy Coding and Entropy Coding Improvements of JPEG XS

Richter, Thomas;Keinert, Joachim;Descampe, Antonin;Rouvroy, Gael
(2018) 2018 Data Compression Conference (DCC) — Location: Snowbird, UT (27.March.2018)

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Authors
  • Richter, ThomasFrauhofer IIS Germany
    Author
  • Keinert, JoachimFrauhofer IIS Germany
    Author
  • Descampe, Antoninorcid-logoUCLouvain
    Author
  • Rouvroy, GaelintoPIX SA
    Author
Abstract
JPEG XS is a new standard for low-latency and low-complexity coding designed by the JPEG committee. Unlike former developments, optimal rate distortion performance is only a secondary goal; the focus of JPEG~XS is to enable cost-efficient, easy to parallelize implementations suitable for FPGAs or GPUs. In this article, we shed some light on the entropy coding back-end of JPEG~XS and introduce modifications of the entropy coding stage currently under discussion that improve objective and subjective quality of the compressed images without compromising the parallelism of the original algorithm.
Affiliations
  • Fraunhofer IIS
  • IntoPIX SA

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Richter, T., Keinert, J., Descampe, A., & Rouvroy, G. (2018). Entropy Coding and Entropy Coding Improvements of JPEG XS. 2018 Data Compression Conference. Published. 2018 Data Compression Conference (DCC), Snowbird, UT. https://doi.org/10.1109/dcc.2018.00017