| 基于FPGA的低照度图像采集与处理系统研究 |
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| 引用本文： | 柳磊,钱芸生. 基于FPGA的低照度图像采集与处理系统研究[J]. 红外技术, 2022, 44(5): 462-468 |
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| 作者姓名： | 柳磊 钱芸生 |
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| 作者单位： | 南京理工大学 电子工程与光电技术学院, 江苏 南京 210094 |
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| 基金项目： | 国防科技微光重点实验室基金； |
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| 摘 要： | 针对低照度图像亮度低、噪声高和边缘模糊等问题，基于Xilinx公司的Artix-7系列FPGA芯片，通过驱动微光性能良好的XQE-1310图像传感器，对探测器采集的视频信号进行滤波和边缘检测，完成了低照度图像的采集和处理等一系列操作，最后将处理过的视频信号通过CameraLink视频格式实时显示，设计了一套微光夜视系统。实验结果表明，该系统的最低工作照度可达10－2 lx量级，滤波算法在保持图像边缘信息的同时有效滤除了图像中的椒盐噪声，自适应边缘检测算法可以根据照度水平实时调整阈值，凸显了低照度环境下物体的轮廓信息。系统充分利用了FPGA（Field Programmable Gate Array）速度快、效率高的优势，最后的成像结果清晰稳定，便于人眼观察。
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| 关 键 词： | 低照度图像 滤波 边缘检测 FPGA |
| 收稿时间： | 2021-06-17 |
A Low Illumination Image Acquisition and Processing System Based on FPGA |
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| LIU Lei,QIAN Yunsheng. A Low Illumination Image Acquisition and Processing System Based on FPGA[J]. Infrared Technology, 2022, 44(5): 462-468 |
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| Authors: | LIU Lei QIAN Yunsheng |
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| Affiliation: | School of Electronic and Optical Engineering, Nanjing University of Science and Technology, Nanjing 210094, China |
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| Abstract: | In terms of the problems of low brightness, high noise and blurred edges in low-illumination images, based on Xilinx's Artix-7 series FPGA chip, the XQE-1310 image sensor with good low-light performance is driven to filter and edge the video signal collected by the detector. After the detection, a series of operations such as acquisition and processing of low-light images were completed, and the processed video signals were displayed in real time through the CameraLink video format. Finally, a low-light night vision system was designed. The experimental results show that the minimum working illuminance of the system can reach the order of 10-2 lx. The filtering algorithm can effectively filter the salt and pepper noise in the image while maintaining the edge information of the image. The adaptive edge detection algorithm can adjust the threshold in real time according to the illuminance level. It highlights the contour information of objects in low-light environments. The system makes full use of the advantages of fast speed and high efficiency of FPGA (Field Programmable Gate Array), and the final imaging result is clear and stable, which is convenient for human eyes to observe. |
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