Hardware Architecture Design of Image Preprocessing and Phase Calculating Algorithms Based on FPGA

Yan Ji, Huijie Zhao, Hongzhi Jiang
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Abstract

In order to implement real-time image preprocessing and fast phase calculating problem, this paper presents a hardware circuit structure by making use of FPGA (Field Programmable Gate Array). This hardware circuit structure can solve the real-time fast problem of image preprocessing and phase calculating. By using look ahead multiplier, median filter, IP Core, etc. we build a hardware circuit algorithm model which is able to reflect FPGA's high-speed, parallel computing capabilities in the processing some algorithms. Applying the structure to the front part of the three-dimensional measuring system does not require additional processing time. Imaging experiments showed that: using the hardware architecture for image preprocessing and phase calculating after obtaining sensor images, non-uniformity correction (based on calibration), blind-pixel compensation (median filter) can be done in real-time, and the data of transmission can reduced because of transferring results of phase calculating. Design of this hardware architecture is a high efficient, fast front processing solution, and it has been verified in the three-dimensional system.
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基于FPGA的图像预处理与相位计算算法硬件架构设计
为了实现实时图像预处理和快速相位计算问题,本文提出了一种利用现场可编程门阵列(FPGA)的硬件电路结构。这种硬件电路结构可以解决图像预处理和相位计算的实时快速问题。通过使用预判乘法器、中值滤波器、IP核等,构建了一个能够体现FPGA在处理某些算法时的高速、并行计算能力的硬件电路算法模型。将该结构应用于三维测量系统的前部不需要额外的处理时间。成像实验表明:在获取传感器图像后,利用该硬件架构进行图像预处理和相位计算,可以实时进行非均匀性校正(基于标定)、盲像素补偿(中值滤波),并且由于相位计算的传输结果减少了传输数据量。该硬件架构设计是一种高效、快速的前端处理方案,并在三维系统中得到了验证。
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