High Dynamic Range versus Standard Dynamic Range compression efficiency

Ronan Boitard, M. Pourazad, P. Nasiopoulos
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引用次数: 4

Abstract

High Dynamic Range (HDR) image and video technology aims at conveying the full range of perceptible shadow and highlight details with sufficient precision. HDR is regarded by many experts as the next evolution in digital media. However, industrial broadcasters have concerns regarding the bandwidth overhead that this new technology entails. While many consider that broadcasting HDR content would increase bandwidth requirements by around 20%, this number is based on studies where, in addition to the SDR main stream, HDR-related side information is conveyed. A recent subjective evaluation reported that encoding HDR video content in a single layer might require less bandwidth than its associated SDR version. Similar results were discussed in the MPEG ad-hoc group on High Dynamic Range and Wide Color Gamut. In this article, we explain how having more information can result in lower bandwidth requirements. To this end, we describe several limitations of the human vision system that, when exploited, optimize the HDR distribution pipeline for a human observer. Our theoretical assumption about the higher efficiency of HDR is backed up by a statistical analysis of pixel distribution in real images. The Spatial Index objective metric also reconfirms our assumption.
高动态范围与标准动态范围压缩效率
高动态范围(High Dynamic Range, HDR)图像和视频技术旨在以足够的精度传达可感知阴影的全范围和突出细节。HDR被许多专家视为数字媒体的下一个发展方向。然而,工业广播公司担心这项新技术带来的带宽开销。虽然许多人认为广播HDR内容会增加20%左右的带宽需求,但这一数字是基于研究得出的,除了SDR主流之外,还传达了HDR相关的侧信息。最近的一项主观评估报告称,在单层中编码HDR视频内容可能比其相关的SDR版本需要更少的带宽。在高动态范围和宽色域的MPEG特设小组中也讨论了类似的结果。在本文中,我们将解释拥有更多信息如何降低带宽需求。为此,我们描述了人类视觉系统的几个限制,当这些限制被利用时,可以优化人类观察者的HDR分布管道。我们关于HDR效率更高的理论假设得到了对真实图像像素分布的统计分析的支持。空间指数的客观度量也再次证实了我们的假设。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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