Uniform Color Space-Based High Dynamic Range Video Compression

Mukherjee, Ratnajit; Debattista, Kurt; Bashford-Rogers, Tom; Bessa, Maximino; Chalmers, Alan

Abstract

© 1991-2012 IEEE. Recently, there has been a significant progress in the research and development of the high dynamic range (HDR) video technology and the state-of-the-art video pipelines are able to offer a higher bit depth support to capture, store, encode, and display HDR video content. In this paper, we introduce a novel HDR video compression algorithm, which uses a perceptually uniform color opponent space, a novel perceptual transfer function to encode the dynamic range of the scene, and a novel error minimization scheme for accurate chroma reproduction. The proposed algorithm was objectively and subjectively evaluated against four state-of-the-art algorithms. The objective evaluation was conducted across a set of 39 HDR video sequences, using the latest x265 10-bit video codec along with several perceptual and structural quality assessment metrics at 11 different quality levels. Furthermore, a rating-based subjective evaluation ( $n=40$ ) was conducted with six sequences at two different output bitrates. Results suggest that the proposed algorithm exhibits the lowest coding error amongst the five algorithms evaluated. Additionally, the rate-distortion characteristics suggest that the proposed algorithm outperforms the existing state-of-the-art at bitrates ≥ 0.4 bits/pixel.

Citation

Mukherjee, R., Debattista, K., Bashford-Rogers, T., Bessa, M., & Chalmers, A. (2019). Uniform Color Space-Based High Dynamic Range Video Compression. IEEE Transactions on Circuits and Systems for Video Technology, 29(7), 2055-2066. https://doi.org/10.1109/TCSVT.2018.2861560

• Journal Article Type: Article
• Acceptance Date: Jul 13, 2018
• Online Publication Date: Jul 31, 2018
• Publication Date: Jul 1, 2019
• Deposit Date: Jul 30, 2018
• Publicly Available Date: Aug 1, 2018
• Journal: IEEE Transactions on Circuits and Systems for Video Technology
• Print ISSN: 1051-8215
• Electronic ISSN: 1558-2205
• Publisher: Institute of Electrical and Electronics Engineers
• Peer Reviewed: Peer Reviewed
• Volume: 29
• Issue: 7
• Pages: 2055-2066
• DOI: https://doi.org/10.1109/TCSVT.2018.2861560
• Keywords: HDR, video coding
• Public URL: https://uwe-repository.worktribe.com/output/864534
• Publisher URL: http://dx.doi.org/10.1109/TCSVT.2018.2861560
• Additional Information: Additional Information : (c) 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other users, including reprinting/ republishing this material for advertising or promotional purposes, creating new collective works for resale or redistribution to servers or lists, or reuse of any copyrighted components of this work in other works.