近年来,小波变换在图像处理中的应用日益受到关注,介绍了小波变换在红外图像非均匀性校正方面的应用。时域高通滤波法是一种典型的自适应非均匀校正方法,在分析传统的时域高通滤波法的基础上,提出了应用小波基实现更加具体的数字低通滤波器,采用Mallat金字塔型算法,将低频部分进行多层次划分,提高低频部分的频域分辨率,并用序列图像进行了验证,仿真结果表明,该方法可以较好地进行非均匀性校正。 In recent years, the application of wavelet transform in image processing has drawn more and more attention. The application of wavelet transform in infrared image non-uniformity correction is introduced. The time-domain high-pass filtering method is a typical adaptive non-uniform correction method. Based on the analysis of the traditional time-domain high-pass filtering method, a more specific digital low-pass filter based on wavelet is proposed. Mallat pyramid algorithm , The low-frequency part of the multi-level division, improve the low-frequency part of the frequency domain resolution, and the use of sequence images were verified, the simulation results show that this method can better non-uniformity correction.