针对红外焦平面阵列(IRFPA)中探测元的非线性响应以及响应特性的漂移引起的校正误差, 提出了一种基于S曲线模型的场景自适应校正算法。该算法利用对数运算将IRFPA的输出信号线性化, 并运用自适应滤波技术对线性信号实施非均匀性校正, 并采用指数变换还原出实际的校正输出信号。基于人造黑体图像和实景红外视频的仿真实验结果表明, 该算法在校正精度和大动态范围信号响应特性方面均优于传统的场景自适应校正算法。

The nonlinear detector response of the infrared focal plane arrays (IRFPA) and its drift characteristics will result in the error of nonuniformity correction(NUC). In view of this fact, an S-curve response model based scene adaptive NUC algorithm is proposed. The algorithm takes logarithm to linearize the output signal of IRFPA, and employs adaptive filtering technique to correct the linear signal. The corresponding exponential transform is used to recover the corrected signal. The performance of the proposed algorithm is tested with artificial blackbody images and real infrared video sequence, respectively. The experimental results validate that the new proposed algorithm can promote the correction precision and expand the dynamic range of detector response considerably.