近期压缩场景中HDR客观质量指标的性能和鲁棒性

Toinon Vigier, Lukáš Krasula, Aurélien Milliat, Matthieu Perreira Da Silva, P. Callet
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引用次数: 7

摘要

新的高动态范围(HDR)技术旨在通过更大的亮度和对比度特性来提高观察者的沉浸感和体验质量。信息量的增加要求开发新的复杂的压缩算法。此外,众所周知的为低动态范围(LDR)系统设计的客观质量指标可能不能直接用于评估HDR视频。为了解决这个问题,已经提出了几种不同的方法。然而,在最新的HDR压缩软件解决方案中,它们的性能和健壮性需要在不同类型的内容上进行评估和验证。本文根据对各种HDR视频序列进行的新的主观测试中获得的数据,对四个客观指标进行基准测试。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Performance and robustness of HDR objective quality metrics in the context of recent compression scenarios
The new High Dynamic Range (HDR) technologies intend to increase the immersiveness and quality of experience of the observers thanks to much larger luminance and contrast characteristics. This increase of the amount of information requires the development of new sophisticated compression algorithms. Moreover, well-known objective quality metrics designed for Low Dynamic Range (LDR) systems may not be directly used for assessing HDR videos. To address this issue, several different ways have been proposed. However, their performance and robustness in the context of the most recent HDR compression software solutions need to be assessed and validated on various types of content. In this paper, four objective metrics are benchmarked from data obtained in a new subjective test conducted on various HDR video sequences.
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