红外探测器成像真实感建模方法研究  

Research on the Method of Improving Synthetic Infrared Image Fidelity

作　　者：冉运超 呼吁 周斌[2] 明德烈 RAN Yunchao;HU Yu;ZHOU Bin;MING Delie(National Key Laboratory of Science and Technology on Multi-spectral Information Processing Technology,School of Automation,Huazhong University of Science and Technology,Wuhan 430074;Beijing Aerospace Automatic Control Institute,Beijing 100854)

机构地区：[1]华中科技大学自动化学院/多谱信息处理技术国家级重点实验室,武汉430074 [2]北京航天自动控制研究所,北京100854

出　　处：《计算机与数字工程》2018年第5期1003-1006,共4页Computer & Digital Engineering

基　　金：国家自然科学基金项目(编号:61273241)资助

摘　　要：红外仿真图像的真实度决定仿真图像的价值,提高仿真图像逼真度有重要的意义。通过对影响仿真真实度的因素进行分析,从探测器原理和建模精细度等方面构建了相应的仿真模型,增加仿真图像的真实感。根据探测器的量化原理,提出了增益控制仿真模型,提高图像的量化质量;采用可见光纹理信号调制红外能量,增加图像的纹理细节。与原方法和真实图像的实验对比结果表明,这些模型能够有效地提高仿真图像的质量,更具有真实感。The fidelity of synthetic infrared image determines the value of simulation system,research on the mthod of improving synthetic image fidelity is important. By analyzing the factors that affect the fidelity,the corresponding simulation model is constructed to improve fidelity of synthetic image based on the principle of infrared detector and modeling precision. A gain control model is proposed to improve the quantification quality according to the principle of the infrared detector,using visible light texture signal to modulate the infrared energy to increase the texture details. Compared with the original method and real image,experiments show that these methods can effectively improve the fidelity of the synthetic infrared image.

关 键 词：红外仿真 真实感建模 图像质量 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]