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Real-time Video Enhancement Using Graphical Processing Units

机译:使用图形处理单元进行实时视频增强

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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.
机译: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,本文还将讨论GPU在中央处理单元(CPU)方面的性能提升。编写视频增强算法是为了解决实时视频增强场景,因此,本文将讨论视频增强的速度和质量。本文包含有关在实时视频增强的质量和速度之间进行权衡的讨论。本文的后半部分将讨论优化并具有实时性能,这些性能是增强和播放多达4k视频的视频所必需的。本文提出了一种通用实施方案,该方案可通过使用诸如大规模CCTV摄像机等低端视频记录设备来获得高端视频质量。该实施方案将使用支持NVIDIA CUDA的图形卡。

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