在分析固定图案噪音频率分布的基础上，提出了一种利用平稳小波进行非均匀性校正的方法.选择合适的小波函数对红外图像序列进行分解，从而估计出非均匀性校正的增益和偏置系数，最终实现红外焦平面阵列的非均匀性校正.利用小波的多分辨性质，提高了低频部分的频率分辨率，有效的抑制了一般基于场景统计校正算法中易于出现的“人工鬼影”现象.用真实的红外图像序列进行了处理，实验证明了算法的优越性.

Based on the analysis of fixed pattern noise on the basis of frequency distribution, a correction method using stationary wavelet was proposed. The infrared image sequence was decomposed by a proper wavelet function, thereby the gain and offset coefficients were estimated and eventually the infrared focal plane array nonuniformity correction was realized. The resolution of low-frequency part was improved by the virtue of the wavelet with its multi-resolution properties, so the “artificial ghost” phenomenon which appears in some scene-based NUC algorithm was restrained. Experiments on real infrared image sequence prove the superiority of the algorithm, and have achieved satisfactory results.