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。
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.
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。
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.
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