Uniform Color Space-Based High Dynamic Range Video Compression
Uniform Color Space-Based High Dynamic Range Video Compression
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DOI：
10.1109/tcsvt.2018.2861560
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发表时间：
2019-07
影响因子：
8.4
通讯作者：
Ratnajit Mukherjee;Kurt Debattista;Thomas-Bashford Rogers;M. Bessa;A. Chalmers
中科院分区：
文献类型：
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作者：
Ratnajit Mukherjee;Kurt Debattista;Thomas-Bashford Rogers;M. Bessa;A. Chalmers
最近，高动态范围（HDR）视频技术的研究和开发取得了重大进展，最先进的视频管道能够提供更高的位深度支持来捕获、存储、编码和显示 HDR 视频内容。在本文中，我们介绍了一种新颖的 HDR 视频压缩算法，该算法使用感知均匀的颜色对手空间、一种新颖的感知传递函数来编码场景的动态范围，以及一种用于精确色度再现的新颖的误差最小化方案。针对四种最先进的算法对所提出的算法进行了客观和主观评估。使用最新的 x265 10 位视频编解码器以及 11 个不同质量级别的多个感知和结构质量评估指标，对一组 39 个 HDR 视频序列进行了客观评估。此外，对两个不同输出比特率的六个序列进行了基于评级的主观评估（$n=40$）。结果表明，所提出的算法在评估的五种算法中表现出最低的编码错误。此外，速率失真特性表明，所提出的算法在比特率 ≥ 0.4 位/像素时优于现有的最先进算法。
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.