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Low cost high throughput affine transformation engine using FPGA

机译:使用FPGA的低成本高吞吐量仿射变换引擎

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摘要

Geometric transformation is widely used in image processing applications especially in the ones in which image registration is required. Electronic image stabilization, super-resolution, sensor fusion can be given as featured example applications requiring a qualitative registration. Affine transformation is a kind of geometric transformation providing sufficient solution for video streams since it covers necessary transformations such as rotation, scaling, shearing, and translation. However this transformation requires enormous matrix operations like matrix multiplications and additions which makes real time hardware implementation a challenging task. In this paper, the methodology of a fully pipelined architecture design by using FPGA is explained to meet the real time requirements of affine transformation for high resolution video streams. A fully pipelined tile based engine was created in order to perform transformation by aiming maximizing throughput. The design was implemented on Altera's Stratix VFPGA as a real-time system that has the capability of processing full HD video streams.
机译:几何变换已广泛用于图像处理应用程序中,尤其是在需要图像配准的应用程序中。电子图像稳定,超分辨率,传感器融合可以作为需要定性配准的典型示例应用程序给出。仿射变换是一种几何变换,可为视频流提供足够的解决方案,因为它涵盖了必要的变换,例如旋转,缩放,剪切和平移。但是,这种转换需要大量的矩阵运算,例如矩阵乘法和加法运算,这使得实时硬件实现成为一项艰巨的任务。在本文中,说明了使用FPGA进行全流水线架构设计的方法,以满足高分辨率视频流的仿射变换的实时要求。为了通过最大化吞吐量来执行转换,创建了一个完全基于流水线的基于图块的引擎。该设计是在Altera的Stratix VFPGA上实现的,是一种实时系统,能够处理完整的高清视频流。

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