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Entropy Coding and Entropy Coding Improvements of JPEG XS

: Richter, T.; Keinert, J.; Descampe, A.; Rouvroy, G.


Bilgin, A. ; University of Arizona; Brandeis University; Microsoft Research; IEEE Signal Processing Society:
Data Compression Conference, DCC 2018. Proceedings : 27-30 March 2018, Snowbird, Utah, USA
Piscataway, NJ: IEEE, 2018
ISBN: 978-1-5386-4883-4
ISBN: 978-1-5386-4884-1
Data Compression Conference (DCC) <2018, Snowbird/Utah>
Conference Paper
Fraunhofer IIS ()

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.