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An Adaptive Two-Point Non-uniformity Correction Algorithm Based on Shutter and Its Implementation

机译:基于快门的自适应两点非均匀性校正算法及其实现

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Because of the non-uniform response of infrared focal plane arrays (IRFPA), non-uniformity correction is a key technology in IRFPA application. The two-point correction algorithm is widely used in practical applications, but there are some disadvantages. The detector's response will drift with time and temperature, correction parameters will drift with this accordingly. In order to acquire good quality images, the correction parameters need to be recalibrated periodically. It is inconvenient for user. This paper proposed an adaptive non-uniformity correction algorithm based on the two-point correction, which can update the correction parameters automatically. And this paper else introduced the approach of the algorithm. Results showed that the algorithm is effective to compensate the response drift influenced by time and temperature.
机译:由于红外焦平面阵列(IRFPA)的响应不均匀,所以不均匀校正是IRFPA应用中的关键技术。两点校正算法在实际应用中被广泛使用,但是存在一些缺点。检测器的响应将随时间和温度而漂移,校正参数将因此而漂移。为了获取高质量的图像,需要定期重新校正校正参数。这对用户来说很不方便。提出了一种基于两点校正的自适应非均匀性校正算法,该算法可以自动更新校正参数。并且本文还介绍了该算法的实现方法。结果表明,该算法可有效补偿时间和温度影响下的响应漂移。

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