红外焦平面阵列非均匀性自适应校正算法研究

摘要

在分析红外焦平面阵列非均匀性校正现行算法的基础上,提出了一种具有自适应性能的新算法.该算法以小波变换中的滤波器理论为基础,通过将图像序列在时间域的尺度分解和相应统计量计算,获得在红外焦平面校正中起影响的偏置和增益系数.模拟实验结果验证了其有效性和先进性.%Based on the analysis of the present algorithms of IRFPA nonuniformity correction (NUC), a new adaptive technique was discussed， to which the wavelet filter theory was applied. With the scale decomposition of image sequences on the time field and the corresponding statistics' calculation, the offset and gain coefficients in IRFPA NUC were obtained. Its effectiveness and superiority were verified by simulation.