一种基于定标的红外图像非均匀性分区域校正算法

红外探测器的非均匀性问题直接影响红外成像质量和测量精度。地基红外辐射测量系统对远距离飞行目标进行成像时往往不能占满全靶面区域。为提高图像质量，提出了一种基于定标的非均匀性分区域校正算法。以靶面大小为640×512的制冷型中波红外探测器为实验对象，基于黑体定标的两点校正法，采用全靶面校正算法及本文算法进行了验证。结果表明，当成像区域小于全靶面的1/3时，分区域非均匀性校正后非均匀性误差低于0.002%。与全靶面非均匀性校正算法相比，此校正算法使非均匀度进一步降低了30%至75%不等，非均匀性误差的下降率大于30%。采用本文算法后，各区域的非均匀度进一步下降，校正目视效果进一步提高。因此该校正方法具有一定的工程应用价值。

A Nonuniformity Regional Correction Algorithm for Infrared Image Based on Calibration

The nonuniformity of infrared detectors directly affects the quality of infrared imaging and measurement accuracy. Ground-based infrared radiation measurement systems often can not occupy the full surface of the detector when imaging long-distance flying targets. In order to improve image quality, a method of nonuniformity regional correction based on calibration is proposed. Taking the cooled mid-wave infrared detector with a target surface of 640×512 as the experimental object, based on the two-point calibration method of blackbody calibration, the whole surface calibration algorithm and the algorithm proposed in this paper are used for verification. The results show that when the imaging area is less than 1/3 of the surface, the nonuniformity error after region nonuniformity correction is less than 0.002%. Compared with the full-target nonuniformity correction algorithm, this correction algorithm further reduces the nonuniformity by about 30% to 75%, and the reduction rate of the nonuniformity error is greater than 30%. After using the correction algorithm in this paper, the nonuniformity of each area is further reduced, and the visual effect of correction is further improved. Therefore, the correction method has certain engineering application value.