Data Adaptive HDR Compression in VVC

Pankaj Topiwala; Madhu Krishnan; Wei Dai

doi:10.1117/12.2530553

6 September 2019 Data Adaptive HDR Compression in VVC

Pankaj Topiwala, Madhu Krishnan, Wei Dai

Proceedings Volume 11137, Applications of Digital Image Processing XLII; 1113713 (2019) https://doi.org/10.1117/12.2530553
Event: SPIE Optical Engineering + Applications, 2019, San Diego, California, United States

Abstract

This paper presents an advanced approach to HDR/WCG video coding developed at FastVDO called FVHDR, and built on top of the Versatile Video Coding (VVC) VTM-5.0 test model of the Joint Video Exploration Team, a joint committee of ITU|ISO/IEC. A fully automatic adaptive video process that differs from a known HDR video processing chain (analogous to HDR10, and herein called “anchor”), is used. FVHDR works entirely within the framework of the VVC software model but adds additional tools. These tools can become an integral part of a future video coding standard or be extracted as additional pre- and post-processing chains. Reconstructed video sequences using FVHDR show an improved subjective visual quality to the output of the anchor. Moreover, the resultant SDR content generated by the data adaptive grading process is backward compatible.

Conference Presentation

Citation Download Citation

Pankaj Topiwala, Madhu Krishnan, and Wei Dai "Data Adaptive HDR Compression in VVC", Proc. SPIE 11137, Applications of Digital Image Processing XLII, 1113713 (6 September 2019); https://doi.org/10.1117/12.2530553

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