光学与光电技术, 2018, 16 (6): 45, 网络出版: 2018-12-17   

AlGaN基日盲紫外探测器成像系统设计与实现

Design and Implementation of Ultraviolet Imaging System Based on Solar-Blind AlGaN Focal Plane Arrays
王继强 1,2,*许金通 1,2王玲 1,2谢晶 1,2张燕 1,2李向阳 1,2
作者单位
1 中国科学院上海技术物理研究所传感技术国家重点实验室, 上海 200083
2 中国科学院上海技术物理研究所红外成像材料与器件重点实验室, 上海 200083
摘要
描述了基于AlGaN日盲紫外焦平面成像系统的硬件和软件设计,实现了对320×256阵列的AlGaN日盲紫外焦平面探测器输出信号的采集、图像处理和成像显示,针对紫外焦平面阵列(UVFPA)器件响应不均匀性,以及容易产生条纹状固定图形背景的问题,以FPGA为硬件平台,研究了紫外图像的非均匀性校正算法,实现了紫外图像的实时非均匀性校正。经实时的紫外图像处理实验对比与分析表明,该算法有效地提高了图像质量,非均匀性从9.609%降到了4.642%。从实时的紫外图像处理结果来看,成像处理系统完成了图像采集、处理,以及成像显示,并取得了良好的成像效果。
Abstract
The hardware and software design of the ultraviolet imaging system based on solar-blind AlGaN focal plane arrays are described. The acquisition, image processing and imaging display of the output signal of the 320×256 solar-blind AlGaN focal plane arrays are realized. A real-time non-uniformity correction(NUC) algorithm is proposed generated by non-uniformity response from the ultraviolet focal plane arrays (UVFPA) and the strip-type fixed pattern noise. The real-time non-uniformity correction of ultraviolet image is realized by using FPGA as the hardware platform. The experimental comparison and analysis indicate that the algorithm can effectively improve image quality and the non-uniformity dropped from 9. 609% to 4. 642%. According to the result of the real-time ultraviolet image processing, the imaging processing system has completed the acquisition, image processing and imaging display, and good image quality has been achieved.

王继强, 许金通, 王玲, 谢晶, 张燕, 李向阳. AlGaN基日盲紫外探测器成像系统设计与实现[J]. 光学与光电技术, 2018, 16(6): 45. WANG Ji-qiang, XU Jin-tong, WANG Ling, XIE Jing, ZHANG Yan, LI Xiang-yang. Design and Implementation of Ultraviolet Imaging System Based on Solar-Blind AlGaN Focal Plane Arrays[J]. OPTICS & OPTOELECTRONIC TECHNOLOGY, 2018, 16(6): 45.

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