Pixel Value Adjustment to Reduce the Energy Requirements of Display Devices

Q3 Engineering
Erik Reinhard;Claire-Hélène Demarty;Laurent Blondé
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引用次数: 1

Abstract

The media and entertainment industry consumes a significant amount of energy to create, distribute, and present video content to consumers. A large proportion of this energy is used by display devices, notably by the 1.9+ billion displays installed in consumers’ homes globally. The production of light within a display is the main reason for this energy use, independent of display technology. Reducing the global energy use of display devices by any means possible is, therefore, a topic of prime concern. Due to the very large number of displays currently in use, even small reductions per display may end up globally saving enormous amounts of energy. In this spirit, we present a video processing technique that can reduce energy requirements without altering the visual quality of the displayed material. For use cases whereby a viewer would accept a certain loss of visual quality, a user parameter could be exposed that further reduces display energy requirements.
像素值调整以降低显示设备的能量需求
媒体和娱乐行业在创建、分发和向消费者呈现视频内容时消耗了大量的能源。这些能源的很大一部分用于显示设备,特别是全球消费者家中安装的19亿块显示器。在显示器内产生光是这种能源使用的主要原因,与显示技术无关。因此,以任何可能的方式减少全球显示设备的能源使用是一个首要关注的话题。由于目前使用的显示器数量非常大,即使每个显示器的微小减少也可能最终在全球范围内节省大量的能源。本着这种精神,我们提出了一种视频处理技术,它可以在不改变显示材料视觉质量的情况下减少能量需求。对于观看者会接受某种视觉质量损失的用例,可以暴露一个用户参数,进一步降低显示能量需求。
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来源期刊
SMPTE Motion Imaging Journal
SMPTE Motion Imaging Journal 工程技术-成像科学与照相技术
CiteScore
0.60
自引率
0.00%
发文量
0
审稿时长
>12 weeks
期刊介绍: The SMPTE Motion Imaging Journal is the key publication of the Society, consistently ranked by our members as the most valuable benefit of their SMPTE membership. Each issue of the Journal explores a theme in great depth, with peer-reviewed technical articles from leading academics, researchers and engineers working at the top companies worldwide. You''ll expand your knowledge on topics like image processing, display technologies, audio, compression, standards, digital cinema, distribution and machine learning and much more. For additional coverage of each month''s topic, the Journal features more exclusive articles online.
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