论文部分内容阅读
为了实现对红外焦平面阵列(IRFPA)获取图像的实时高精度非均匀校正,提出了一种基于多点标定的自适应非均匀性校正算法,该算法假定在环境温度变化时,校正后输出图像数据的差值与已标定的数据存在线性关系,对其进行分块并配对,采用最小二乘法,以平方和最小为准则,自适应修正校正系数,以达到实时调整非均匀校正的校正系数,对环境温度变化引起的非均匀性进行补偿的目的。实验结果表明,该方法既提高了非均匀性校正的精度又能满足实时性要求,可广泛应用于光电火控、红外成像制导等对实时性和成像质量均有较高要求的应用场合。
In order to realize real-time high-precision non-uniform correction of IRFPA images, an adaptive non-uniformity correction algorithm based on multi-point calibration is proposed. The algorithm assumes that when the ambient temperature changes, the corrected output image The difference between the data and the calibrated data has a linear relationship, which is divided into blocks and paired. The least square method and the least squares method are used as the criterion to adaptively correct the correction coefficient so as to achieve the real-time adjustment of the non-uniform correction coefficient, The purpose of compensating for non-uniformities caused by changes in ambient temperature. Experimental results show that this method not only improves the accuracy of non-uniformity correction but also meets the real-time requirements. It can be widely used in applications such as photoelectric fire control and infrared imaging guidance, which have high requirements on both real-time performance and imaging quality.