摘要
图像仿真有时需要得到相同场景不同天气下的图像,为特定的图像分析提供数据。针对长波红外图像雨雾效果的仿真,分析了雨雾天气下大气介质对长波红外(8~12μm)成像的影响,提出了一种雨雾效果仿真方法。用大气点扩展函数来表示雨雾天气对红外图像质量的影响,运用蒙特卡罗方法仿真红外辐射在雨雾中的传输过程,分别得到了雨天和雾天的大气点扩展函数。利用雨雾天气下的大气点扩展函数对场景的红外图像作变换得到了有雨雾效果的红外图像。最后给出的仿真结果基本达到了实际雨雾天气的效果。
Simulation of images of a scene under different weather conditions are required sometimes for special image analysis. To simulate LW - infrared image in fog and rain, this paper analyzed how the rain and fog affect LW infrared(8 - 12μm) imaging, and presented a method to simulate the effects of rain and fog on LW infrared images, The quality of infrared images in rain and fog was represented by atmospheric point spread function ( PSF), and the infrared radiation transfers in rain and fog were simulated by Monte - Carlo method in order to obtain PSF of rain and fog respectively. Using the PSF of rain and fog, infrared images of scenes were transformed into images affected by rain and fog. The results show that the effect of fog and rain on images is attained by this simulating method.
出处
《计算机仿真》
CSCD
2008年第4期190-193,共4页
Computer Simulation
关键词
红外图像
点扩展函数
蒙特卡罗方法
图像仿真
Infrared image
Point spread function
Monte- Carlo method
Image simulation