Research on Infrared Image Enhancement Algorithm Based on Histogram

摘要

Infrared image often has the defects of low contrast and high dynamic range. Image enhancement technology is very important for infrared images. In this paper, several methods were introduced to improve the quality of infrared images. At first, images from IRFPA must be pre-processed by the algorithm of blind compensation and non-uniformity correction (NUC). Then, the image was enhanced by the algorithm of direct gray scale transformation and plateau equalization (PE). The quality of the image was enhanced effectively. However, the noise was also amplified. At last, the image noise was suppressed by using median filter. The experiment result indicates that infrared image enhancement algorithm can not only enhance image contrast effectively but also keep the detail information of original infrared image well.