视频增强和压缩算法的硬件实现

Harish Reddy Kolanu, Priyadarshini Nagrale, M. Okade, K. Mahapatra
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引用次数: 0

摘要

本文介绍了视频增强和压缩算法在硬件平台上的实现。实现的动机是由于之前没有对视频算法的硬件实现进行足够的研究,因为研究界的主要重点是从软件角度分析算法,并且很多时候忽略了从防御角度来看非常关键的硬件板级方面。本文是弥合这一差距的一种新颖的尝试,并提出了在硬件板上运行视频处理算法时的实际考虑。我们利用通用板即树莓派3和专用视频处理板即TI的DaVinci DM6437来展示现有视频算法的性能,以便在进行原型开发时,设计人员可以根据应用场景权衡性能和成本方面。这项工作的主要重点是视频处理算法在无人机和导弹等监视应用中的应用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Hardware realization of video enhancement and compression algorithms
This paper presents implementation aspects of video enhancement and compression algorithms on hardware platforms. The implementation is motivated by the fact that sufficient studies have not been carried out earlier on hardware realization of video algorithms since major focus in the research community has been on analyzing algorithms from a software perspective and many a times ignoring the hardware board level aspects which are very critical from the defence point of view. This paper is a novel attempt to bridge this gap and present the practical considerations of video processing algorithms when run on hardware boards. We utilize both a general purpose board namely Raspberry Pi 3 as well as a dedicated video processing board namely TI's DaVinci DM6437 to show the performance of existing video algorithms so that when prototype development is carried out the designer could tradeoff performance and cost aspects depending on the application scenario. Primary focus in this work is on the utility of video processing algorithms for surveillance applications like UAV's and missiles.
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