关键词: 红外图像, 权值, 直方图均衡, 细节增强

Abstract: With constraints to the performance of the IR detector，IR image usually has lower visual effect with low contrast and weak detail information.It needs to be enhanced to improve the quality.A detail enhancement method for infrared image is proposed in this paper.Firstly，the extremum points of the original image are detected and replaced to eliminate the shot noise.Secondly，the detail information is achieved after the low-passed image is subtracted from the image acquired in the first step.Meanwhile，the gradient information of the image is obtained with morphological approach.Together with the original grey value，a weight value for grey-scale statistic is figured out.Finally，the histogram equalization algorithm based on the weight value is adopted to get high-quality image with distinct details.Experimental results demonstrate that the method has satisfactory performance with low computation complexity.

Key words: infrared image, weight value, histogram equalization, detail enhancement