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

机译:用于FPGA的邻域操作的硬件实现实时视频处理框架

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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,我们提供了一个实时视频处理框架,可以处理高数据吞吐率。与使用多个图像线路长移位寄存器管道进行二维邻域操作的常见数字硬件实现相反,通过使用双端口块RAM缓冲器来建议高效的循环图像线路存储结构,该缓冲器在最近的FPGA中可用。因此,我们的方法在FPGA中不占据基于Shift寄存器的数据存储的大量有价值的逻辑资源,并通过并行视频数据处理路径实现高数据吞吐量。通过这种记忆结构,我们实现了 - 已经主要提出了先前的工作 - 基本形态图像处理操作侵蚀和扩张作为构建块的新硬件架构。对于这些构建块,这是硬件占用和最大时钟频率效率,我们还实现了组合的形态操作开口和关闭,这通常用于降噪和物体轮廓平滑等图像增强。

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