Improved Non-uniformity Correction Method by Pixel-wise Radiometric Self-calibration for Infrared Imaging
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摘要: 红外成像系统中一直存在着非均匀性的问题，针对红外大动态范围成像等任务对改变成像系统积分时间的需要，提出了一种利用像素级辐射自校正技术的可变积分时间的非均匀性校正方法。通过辐射自校正为红外探测器中的每个像元建立辐射响应方程以估计出场景的辐射通量图，利用线性校正模型对辐射通量图进行校正，实现任意积分时间下的非均匀性校正。该方法的有效性通过高分辨率碲镉汞红外探测器进行了验证。Abstract: Eliminating non-uniformity is a persistent challenge for infrared imaging systems, especially when the integration time varies. This paper describes a non-uniformity correction method with the ability to adapt to arbitrary changes in integration time by correcting the infrared radiation flux map of the scene, which is estimated by pixel-wise radiometric self-calibration. Multiple images of an extended blackbody, obtained with different integration times and blackbody temperatures, were used to obtain the parameters of both the correction model and radiometric calibration model. The correction effect of this method within a wide range of integration times was verified by a high-resolution HgCdTe medium-wave infrared imager.
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图 1 恒定辐照度时某像素输出信号与积分时间的关系
Figure 1. The relationship between the output signal of a pixel and the integration time under constant irradiance
表 1 3种方法处理前后的黑体图像的NU的统计数据
Table 1 NU statistics of the black body image before and after process of the three methods
Method Mean NU Median NU Min NU Max NU Un-corrected 6.041% 6.489% 3.025% 8.583% Two-point 1.562% 1.081% 0.088% 6.024% Ochs 0.133% 0.128% 0.073% 0.281% Proposed 0.101% 0.098% 0.050% 0.205% 
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表 2 三种方法处理前后的场景图像的粗糙度ρ
Table 2 Roughness ρ of the scene images before and after theprocess of the three method
Integration Time/ms Un-corrected Two-point Ochs Proposed 4 0.11816 0.01032 0.00924 0.00904 9 0.07297 0.00998 0.00900 0.00890 12 0.06285 0.00989 0.00888 0.00876
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