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De-interlacing Using Priority Processing for Guaranteed Real Time Performance With Limited Processing Resources

机译:使用优先级处理进行保证实时性能,具有有限的处理资源

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Multi-Media-Systems (MMS) increasingly use software solutions for signal processing instead of dedicated hardware. Scalable video algorithms (SVA) using novel priority processing can guarantee real-time performance on programmable platforms even with limited resources. In this paper we propose a scalable de-interlacing algorithm with priority processing. The de-interlacer adapts to the available hardware resources and shows a wide range of scalability with good output quality. The output quality has been compared with other proposed de-interlacers.
机译:多媒体系统(MMS)越来越多地使用软件解决方案来代替专用硬件。使用新颖的优先级处理的可缩放视频算法(SVA)可以保证即使资源有限的可编程平台上的实时性能。在本文中,我们提出了一种具有优先级处理的可扩展去交错算法。 De-ondlacer适应可用的硬件资源,并显示出具有良好输出质量的可扩展性。与其他提出的去交织器进行了比较了输出质量。

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