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A Novel Non-uniformity Correction Method Based on ROIC

机译:一种基于ROIC的非均匀性校正新方法

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Infrared focal plane arrays (IRFPA) suffer from inherent low frequency and fixed patter noised (FPN). They are thus limited by their inability to calibrate out individual detector variations including detector dark current (offset) and responsivity (gain). To achieve high quality infrared image by mitigating the FPN of IRFPAs, we have developed a novel non-uniformity correction (NUC) method based on read-out integrated circuit (ROIC). The offset and gain correction coefficients can be calculated by function fitting for the linear relationship between the detector’s output and a reference voltage in ROIC. We tested the purposed method using an infrared imaging system using the ULIS 03 19 1 detector with real nonuniformity. A set of 384*288 infrared images with 12 bits was collected to evaluate the performance. With the experiments, the non-uniformity was greatly eliminated. We also used the universe non-uniformity (NU) parameter to estimate the performance. The calculated NU parameters with the two-point calibration (TPC) and the purposed method imply that the purposed method has almost as good performance as TPC.
机译:红外焦平面阵列(IRFPA)具有固有的低频和固定的模式噪声(FPN)。因此,它们因无法校准包括检测器暗电流(偏移)和响应度(增益)在内的各个检测器变化而受到限制。为了通过减轻IRFPA的FPN来获得高质量的红外图像,我们开发了一种基于读出集成电路(ROIC)的新颖的非均匀性校正(NUC)方法。失调和增益校正系数可以通过函数拟合计算出检测器输出与ROIC中参考电压之间的线性关系。我们使用红外成像系统,使用具有真正不均匀性的ULIS 03 19 1检测器,对目标方法进行了测试。收集一组具有12位的384 * 288红外图像以评估性能。通过实验,极大地消除了不均匀性。我们还使用了Universe非均匀性(NU)参数来估计性能。用两点校准(TPC)和有针对性的方法计算的NU参数意味着,有针对性的方法几乎具有与TPC一样好的性能。

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