在激光照射性能监测系统中，考虑到对成像激光光谱特性、命中率测量精度的要求，为保证图像的探测动态范围，提高光斑命中精度的测量准确度，使用可见光传感器和红外传感器获得图像。采用加权平均法、PCA变换法、金字塔小波变换法，对共光路光学成像系统的多分辨率图像进行融合，通过融合性能评价指标对以上融合方法进行比较。实验结果表明：基于金字塔小波变换的图像融合方法具有更为理想的图像融合效果，可以提供更多、更有效的信息，提高了图像的分辨效果，能更好的识别光斑。%We present an approach to get the image using optical sensors and infrared sensors in the laser performance monitoring system. This method can meet the requirements of the imaging laser spectral characteristics,the shooting ac-curacy of measurement and the detection of image dynamic range. Using the weighted average method, PCA transform method and the pyramid wavelet transform method for the image fusion under the Coaxial optical system with the mul-tiresolution image. Above fusion methods were compared by fusion performance evaluation parameters. The experiment results shown that there were more desirable image fusion and more effective information when selecting the pyramid wavelet transform fusion method. Meanwhile,this method improved the resolution of the image and the identification of the facula probability.
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