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In order to get photon counting fusion images with better effect, it is proposed a fusion algorithm based on adaptive threshold of regional energy fusion rule. The photon counting image is obtained by the MPPC (Multi-pixel Photon Counter) single detector in different illumination conditions, the high-frequency part and the low-frequency part are obtained after redundant wavelet transform of photon counting image. In high-frequency part of the two source images, the energy of the corresponding region, neighborhood mean square, matching degree and adaptive threshold deviation are calculated. And the adaptive threshold is determined by pixel values and mean values of regional image. If the matching degree is greater than adaptive threshold value, weighted regional energy fusion method is used to solve it. Otherwise, the enhanced pixel value of source image with larger energy in local region is selected as pixel value in corresponding fusion image. Using adaptive threshold of regional energy fusion rule for image fusion, it is proved that details of photon counting fusion image are clearer and target is easier to recognize in this paper, the values of information entropy, average gradient and spatial frequency are about 20%, 25%, and 30% higher than that of regional energy fusion rules. Introduction Photon counting image is obtained in the low-light environment. With the development of night vision technology, the demand for image fusion is also increasing in the low-light-level image processing system. Image fusion is a process of synthesizing significant features of multiple acquired source images by using mathematical methods [1] . Since multiple source images can complement each other, image fusion can reduce the fusion image uncertainty and ambiguity, and improve the accuracy and reliability of the fusion image information, forming a more complete description of the target [2] . In recent years, image fusion has been widely used in visible light images and infrared images [3] , low-light-level images and infrared images [4] . The effect of fusion image was improved, but there were still noises and unclear phenomena in the fusion image in reference[5]. The image fusion based on the region energy method and the region gradient method fusion rule was used to obtain a high brightness of the fusion image, but the fringe noise appeared and the image outline was not clear [6] . The above are all the fusion techniques of low-light-level images and infrared images, visible light images and infrared images, but the fusion technology between photon counting images is quite immature, and the corresponding fusion algorithms are rarely studied. Image fusion algorithm bases on regional energy, the fusion image has unclear outline and serious noise. In this paper, the photon counting image is obtained by MPPC detector under different illumination conditions. In image fusion based on redundant wavelet transform, image fusion based on adaptive threshold of regional energy fusion rule can obtain higher image quality, and outline of the target is clearer and target is easier to distinguish.

Photon Counting Image Fusion Algorithm Based on Adaptive Threshold of Regional Energy