An Enhancement Algorithm for Infrared Image Based on Histogram Weighted Filter and Contrast Stretch
In order to enhance the environmental awareness of pilots to some extent, enhancement infrared images play an important role in EVS (Enhanced Vision System). Based on the characters of infrared images, which have bad contrast, heavy noises and blurry edges, an enhancement algorithm of infrared images is proposed in this paper. It uses histogram weighted filter to remove the noises and simultaneously reserve details of infrared images at first, and then estimates the target area by obtaining appropriate double-threshold with mean and variance of the image and stretches the grayscale dynamic range of the target area, and finally improve the contrast of the infrared image. Comparative study reveals its superiority over the traditional histogram equalization. It can enhance the infrared image effectively which is very beneficial in the aviation areas.
Enhanced Vision System Enhancement of infrare image Histogram weighted filter Contrast stretch
Liu Jia Feng Ziliang Wang Di Feng Shicai
Institute of Image and Graphics, Sichuan University Chengdu, Sichuan, P.R.China
国际会议
2010 International Conference on Measurement and Control Engineering(2010年IEEE测量与控制工程国际会议 ICMCE2010)
成都
英文
656-659
2010-11-16（万方平台首次上网日期，不代表论文的发表时间）