基于小波分析的红外焦平面阵列非均匀性校正算法

Correction of IRFPA nonuniformity based on analysis of wavelet transform

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。

Wavelet transform is an important tool for image procession. The nonuniformity correction(NUC) is one of the key techniques in staring focal plane array imaging system. Based on the analysis of NUC of infrared focal plane array(IRFPA) by temporal highpass filter, the wavelet transform is used for the design of digital lowpass filter, which applies Mallat pyramidal algorithm to improve the frequency resolution of low frequency. The method is adaptive, which can efficiently overcome ghosting with proper scale. Its efficiency and surperiority are clarified by simulation.\;