基于全变分模型的红外焦平面非均匀性校正及其FPGA实现 |
投稿时间:2018-04-03 修订日期:2018-04-18 点此下载全文 |
引用本文:姚锦华,郑东志,姜江辉,刘婧.基于全变分模型的红外焦平面非均匀性校正及其FPGA实现[J].红外,2018,39(7):8~13 |
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基金项目:国家重大科学仪器设备开发专项( 2013YQ470767) |
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中文摘要:基于辐射源的定标校正法在工程应用中易受到特殊应用场合以及仪器工作状态偏移等因素影响,输出图像质量欠佳。针对此问题,基于现场可编程门阵列(Field Programmable Gate Array, FPGA)硬件平台实现了全变分模型场景实时校正算法,阐述了模型的应用原理及抑制图像鬼影、退化问题的相关措施。在制冷型长波红外探测器上完成了功能调试及性能测试。实验结果表明,该算法能在20帧图像内完成校正收敛,达到良好的成像校正效果。 |
中文关键词:非均匀性校正 全变分模型 图像鬼影 FPGA |
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Nonuniformity Calibration of Infrared Focal Plane Based on Total Variational Model and Its FPGA Implementation |
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Abstract:The reference based Non-Uniformity Correction (NUC) is susceptible to the special application situation and the working condition drift of the instrument. This may result in the output images with poor quality. To solve this problem, a scene based NUC algorithm for the total variation model is realized on the Field Programmable Gate Array (FPGA) platform. The application principle of the model and some measures for suppressing image ghosts and degradation are presented. Function debugging and performance testing are completed in some cooled LWIR detectors. The experimental results show that this algorithm can accomplish correction convergence in 20 frames and satisfactory imaging quality is achieved. |
keywords:correction of non-uniformity total variation model ghost artifact FPGA |
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