对FPGA实现实时运动估计的适用性进行评估

A. Ryszko, K. Wiatr
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引用次数: 9

摘要

在视频压缩过程中,运动估计是一项计算量非常大的操作,因此需要特殊的硬件架构来实现实时压缩性能。增加可编程逻辑器件的复杂性、密度和速度的优势将很快使我们能够在一个可编程芯片内实现这种特定于应用程序的处理器。本文评估了在Xilinx FPGA上实现的块匹配硬件架构的性能。由Komarek和Pirsch(1989)推断的Full Search算法的收缩阵列已经实现,并通过实现的时钟速率和占用的FPGA资源数量进行评估。结果表明,使用二维收缩阵列,即使使用中等容量(250k门)的FPGA芯片,也可以实现CIF图像运动估计的实时性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
An assessment of FPGA suitability for implementation of real-time motion estimation
Motion estimation is very computational demanding operation during video compression process, thus special hardware architectures are required to achieve real-time compression performance. Advantages in increasing complexity, density and speed of programmable logic devices will soon allow us to implement this kind of application specific processors within one programmable chip. This paper evaluates the performance of Block Matching hardware architectures implemented in Xilinx FPGA. Systolic arrays for Full Search algorithm inferred by Komarek and Pirsch (1989) have been implemented and evaluated by achieved clock rate and number of occupied FPGA resources. Results show that with 2D type systolic arrays it is possible to achieve real-time performance of motion estimation for CIF images even with moderate capacity (250 k gates) FPGA chip.
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