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图像的灰度空间相关性可以反映图像的清晰度,而图像融合的主要目的之一就是改善图像的清晰度.根据微光全波图像和微光短波图像的光谱特点,在分析微光全波图像和微光短波图像的一维灰度直方图及二维灰度空间相关性图的基础上,提出了一种新型的基于灰度空间相关性的图像融合方法.该融合方法由基于标准偏差的灰度调制和灰度统计平衡两部分实现,同灰度调制融合法及谱域融合法比较,此方法能够有效地改善图像的清晰度,同时便于硬件实现.文中详细阐述了该融合方法的理论公式,并分析了其在不同场景时的实验结果.
The gray spatial correlation of images can reflect the sharpness of images, and one of the main purposes of image fusion is to improve the sharpness of images.According to the spectral characteristics of full-wave and low-light shortwave images, Based on the one-dimensional gray histogram and the two-dimensional gray spatial correlation map of the images and the shortwave shortwave images, a novel image fusion method based on gray spatial correlation is proposed. The fusion method is based on the standard deviation The gray-scale modulation and the gray-scale statistical balance are achieved, compared with the gray-scale modulation fusion method and the spectral fusion method, this method can effectively improve the clarity of the image and facilitate the realization of the hardware.A detailed description of the fusion method Theoretical formula, and analyzes its experimental results in different scenes.