Infrared Image Enhancement Method Based on Improved Histogram

Abstract

In order to improve the enhancement effect of infrared image, according to the imaging characteristics of existing infrared imaging, an infrared image enhancement method based on improved histogram is proposed in this paper. For the phenomenon that the infrared image may be highlighted around, this paper comprehensively considers the image brightness intensity and contrast, then determines the clipping area of the original image. On this basis, this paper proposes a method of uniform distribution of gray levels to avoid the loss of image details caused by the combination of gray levels with a small number of pixels. Experiments show that compared with the traditional histogram equalization method, the improved algorithm proposed in this paper has 21.87%, 2.60% and 14.52% improvements in entropy value, standard deviation and fuzzy linear index respectively. The key details of the image are enhanced while improving the image contrast, which confirms the correctness of the theoretical analysis.