Abstract
To solve the problems associated with infrared images,such as narrow gray range,unclear image details and fuzzy target edge,an infrared target enhancement method based on adaptive fractional differentiation is proposed.In this method,first,the gradient and information entropy of image are used for effective fusion,and the fractional differentiation is adaptively adjusted to enhance the edge of the target in the image.Subsequently,the standard deviation and mean value of the image pixel gray are fused to determine the segmentation threshold of the target,to distinguish the background and target in the image.The target area of the image is linearly enhanced to better highlight the target.Experimental results show that the proposed method can effectively distinguish the target and background in the infrared image.The average local target-to-background ratio(TBR)increased by 0.5,and the visual effect was ideal.
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