使用图形处理单元的实时视频增强

R. Silva, Asela Dasanayaka, R. Ragel
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引用次数: 2

摘要

在本文中,我们提出了一种实时视频增强算法,该算法使用图形处理单元(gpu)进行更快的并行计算。此外,本文将讨论GPU相对于中央处理器(cpu)的性能提升。视频增强算法是针对实时视频增强场景而编写的,因此本文将更多地讨论视频增强的速度和质量。本文讨论了实时视频增强在质量和速度之间的权衡问题。本文的后半部分将讨论提高和播放4k视频所需的实时性能的优化。本文提出了一种通用的实现,可以使用大规模闭路电视摄像机等低端视频记录设备来获得高端视频质量。此实现将使用NVIDIA CUDA支持的图形卡。
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Real-time Video Enhancement Using Graphical Processing Units
In this paper, we propose a real-time video enhancing algorithm which uses the Graphical Processing Units(GPUs) for faster parallel computations. Also, the paper will discuss the performance gains with GPU respect to a Central Processing Units(CPUs). The video enhancing algorithm is written to address the real-time video enhancement scenario, hence this paper will discuss more on the speed and the quality of the video enhancement. The paper contains the discussion about the trade-off between the quality and speed of the real-time-video enhancement. The latter part of the paper will discuss the optimizations to have real-time performance that is needed to enhance and play videos up to 4k videos. This paper proposes a generic implementation that can be used to have high-end video quality using low-end video recording devices like mass scale CCTV cameras, etc. This implementation will use NVIDIA CUDA enabled graphics cards.
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