基于黑体的红外图像非均匀性校正算法研究及改进

Research and Improvement of Non-uniformity Correction Algorithm of Infrared Image Based on Blackbody

红外探测器具有广泛的应用,但是其非均匀性严重影响成像效果。基本非均匀性校正算法可以对图像起到良好的校正效果,但是在精细校正上仍然存在一定的缺陷。针对这一问题,研究了基本的非均匀性校正算法,并提出一种基于多个定标温度的二阶校正算法。采集红外探测器的原始图像进行校正,着重对比了文中算法与两点校正算法、多点校正算法。实验表明,采用文中提出算法校正后,红外图像的响应率不均匀性低于两点校正算法和多点校正算法,精细校正效果得到明显提高。

Infrared detectors have widely applications,but the non-uniformity seriously affects the imaging effect.The basic non-uniformity correction algorithm can have a good correction effect on the image,but there are still some problems in fine correction.To solve this problem,the basic non-uniformity correction algorithm is researched,a second-order correction algorithm based on multiple calibration temperature points is proposed.The original image collected by the infrared detector is corrected,and the algorithm is compared with two-point and multi-point correction algorithms.Experimental results show that the non-uniformity of response rate of infrared images is lower than that of two-point and multi-point correction algorithms,and the fine correction effect is significantly improved.