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A real time video processing framework for hardware realization of neighborhood operations with FPGAs

机译:一个实时视频处理框架,用于通过FPGA硬件实现邻域操作

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In this work we present a real time video processing framework, which can handle high data throughput rates. Contrary to common digital hardware realizations which use several image line long shift register pipelines for direct calculation of 2D neighborhood operations, we suggest an efficient cyclic image line storage structure by using dual port block RAM buffers, which are available in recent FPGAs. Therefore, our approach does not occupy a huge amount of valuable logic resources in the FPGA for shift registers based data storage and achieves a high data throughput by parallel video data processing paths. With this memory structure we realize — already principally proposed in a previous work — a new hardware architecture of the basic morphological image processing operations erosion and dilation as building blocks. With these building blocks, which are hardware occupation and maximum clock frequency efficient, we also implemented the combined morphological operations opening and closing, which are commonly used for image enhancement like noise reduction and object contour smoothing.
机译:在这项工作中,我们提出了一个实时视频处理框架,该框架可以处理高数据吞吐率。与使用数个图像行长移位寄存器流水线直接计算2D邻域运算的常见数字硬件实现相反,我们建议使用双端口块RAM缓冲区来提供一种有效的循环图像行存储结构,该结构在最近的FPGA中可用。因此,我们的方法不会在FPGA中为基于移位寄存器的数据存储占用大量宝贵的逻辑资源,并且通过并行视频数据处理路径实现了高数据吞吐量。通过这种存储结构,我们实现了-在先前的工作中已经主要提出的-一种新的硬件结构,其基本形态学图像处理操作以侵蚀和扩张为构建基块。通过这些具有硬件占用和最大时钟频率效率的构建块,我们还实现了组合的形态学操作打开和关闭,它们通常用于图像增强(如降噪和对象轮廓平滑)。

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