基于贝叶斯估计的IRFPA自适应非均匀性校正

针对长时间工作后红外焦平面阵列(IRFPA)响应特性发生漂移，图像质量下降的问题，分析了两点校正(TPC)后残留非均匀噪声的特性，在TPC的基础上提出了一种自适应非均匀性校正方法。将两点校正后的图像进行小波分解，利用贝叶斯阈值逐点进行信号方差和噪声方差的估计，计算出残留非均匀噪声并加以去除。实验结果表明，该算法可以有效去除残留非均匀噪声，避免因红外焦平面阵列响应特性漂移而导致的图像降质。

Abstract

After long time working, the response characteristics of infrared focal plane array (IRFPA) often drift slowly, and the image quality always degrades. Aiming at the problem, the characteristic of residual noise after two point correction (TPC) is analyzed. An adaptive non-uniformity correction algorithm is proposed based on the TPC algorithm. The images after TPC is decomposed by wavelet, and the Bayesian threshold is used to estimate signal and noise variance point by point, the residual nonuniformity noise is calculated and removed. Experimental results show that the proposed algorithm can remove the residual nonuniformity noise effectively and avoids the image degradation caused by the response drift of IRFPA.

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冷寒冰, 谢庆胜, 刘伟, 易波, 唐利孬, 张建. 基于贝叶斯估计的IRFPA自适应非均匀性校正[J]. 光学学报, 2014, 34(9): 0910001. Leng Hanbing, Xie Qingsheng, Liu Wei, Yi Bo, Tang Linao, Zhang Jian. Adaptive Nonuniformity Correction for IRFPA Based on Bayesian Estimation[J]. Acta Optica Sinica, 2014, 34(9): 0910001.

基于贝叶斯估计的IRFPA自适应非均匀性校正

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