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在多路CCD成像结构中,由于影响各路成像参量不一致的因素较多,常规校正方法变得复杂和困难。在分析多路CCD成像机理的基础上,提出了一种利用小波变换的多路CCD成像非一致性动态校正新方法,即在分析同一目标成像中异路图像像元特性差异的基础上,利用小波变换构筑校正因子对后续的CCD捕获图像进行校正。为满足实时校正的需要,研究了动态条件下成像校正的时效性,分析了不同小波的动态校正效率。实验结果表明,校正后同一目标异路图像相关值为0.9975,Symlet3 小波在两路及多路成像校正中均具有较高效率;在多路成像中,Symlet系列小波相对于其它类型小波校正效率相对突出。此方法为多路CCD成像非一致性在线校正提供了有效的途径。
In the multi-channel CCD imaging structure, the conventional correction methods become complicated and difficult due to the large number of factors that affect the inconsistency of imaging parameters. Based on the analysis of the mechanism of multi-channel CCD imaging, a new method of non-uniform dynamic correction of multi-channel CCD imaging based on wavelet transform is proposed. On the basis of analyzing the characteristics of heterogeneous image pixels in the same target image, The wavelet transform is used to construct the correction factor to correct the subsequent CCD captured image. In order to meet the need of real-time correction, the time-effectiveness of imaging correction under dynamic conditions was studied and the dynamic correction efficiency of different wavelet was analyzed. Experimental results show that the correlative value of the same target heterodyne image after calibration is 0.9975, Symlet3 wavelet has high efficiency in two-channel and multi-channel imaging correction. In multi-channel imaging, the Symlet series wavelet has a higher efficiency than the other types of wavelet prominent. This method provides an effective way for online calibration of multi-channel CCD imaging inconsistency.