李召龙, 沈同圣, 娄树理. 基于多项式逼近的红外系统渐晕效应校正方法[J]. 红外与激光工程, 2016, 45(S1): 6-10. DOI: 10.3788/IRLA201645.S104002
引用本文: 李召龙, 沈同圣, 娄树理. 基于多项式逼近的红外系统渐晕效应校正方法[J]. 红外与激光工程, 2016, 45(S1): 6-10. DOI: 10.3788/IRLA201645.S104002
Li Zhaolong, Shen Tongsheng, Lou Shuli. Vignetting correction method for the infrared system based on polynomial approximation[J]. Infrared and Laser Engineering, 2016, 45(S1): 6-10. DOI: 10.3788/IRLA201645.S104002
Citation: Li Zhaolong, Shen Tongsheng, Lou Shuli. Vignetting correction method for the infrared system based on polynomial approximation[J]. Infrared and Laser Engineering, 2016, 45(S1): 6-10. DOI: 10.3788/IRLA201645.S104002

基于多项式逼近的红外系统渐晕效应校正方法

Vignetting correction method for the infrared system based on polynomial approximation

  • 摘要: 渐晕效应是在红外成像时像平面中心区域较亮而边缘区域较暗的现象。渐晕效应对红外系统成像性能的影响非常严重,因此系统使用时有必要对渐晕效应进行校正。首先对渐晕效应的产生原因做了分析,然后提出了一种基于场景的渐晕校正方法。通过场景之间的方差信息提取背景,用多项式逼近背景灰度分布,得到校正因子,从而实现渐晕校正。为评价校正效果,提出具有统计意义的行间方差概念。分别利用星空和海面两种场景对校正方法进行验证。校正后行间方差减小到未校正行间方差的13.6%和3.8%,校正效果比较理想。

     

    Abstract: Vignetting effect during infrared imaging is the phenomenon that image plane center region is bright but edge is dark. The vignetting effect is very serious, so it is necessary to correct the vignetting effect when the system is used. First, the cause of the vignetting effect was analyzed. Then, a fast correction method was proposed. The background information was extracted, and the background gray distribution was obtained by polynomial approximation. To evaluate the correction effect, the concept of variance between rows which has statistical significance was put forward. To verify the correction method, two kinds of scenes were used. Variance between rows was reduced to 13.6% and 3.8% compared with uncorrected images. The effect of the correction method is ideal.

     

/

返回文章
返回