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基于结构相似度和保真度的红外成像传感器仿真评价方法研究
引用本文:娄树理,韩艳丽,任建存,李召龙.基于结构相似度和保真度的红外成像传感器仿真评价方法研究[J].红外,2015,36(2):30-35.
作者姓名:娄树理  韩艳丽  任建存  李召龙
作者单位:海军航空工程学院控制工程系,山东烟台,264001
基金项目:总装备部“十二五”预研项目(51303020403-3)
摘    要:红外成像传感器系统典型效应建模与仿真的真实性和逼真度决定着红外成像制导仿真的有效性,因此研究红外成像传感器系统的典型效应仿真评价方法具有十分重要的意义。针对目前红外成像传感器仿真评价方法不足的问题,基于结构相似度(Structural Similarity,SSIM)和保真度提出了一种红外成像传感器仿真图像验证评价方法。采用SSIM评价了仿真图像的亮度、对比度和结构相似度,并采用保真度评价了仿真图像的空间几何特征和灰度特征。实验结果表明,该方法可有效评价红外成像传感器的模糊、噪声等退化效应,适于对红外传感器建模与仿真图像进行客观质量验证与评价。

关 键 词:红外成像传感器  建模与仿真  图像评价
收稿时间:1/5/2015 12:00:00 AM
修稿时间:2015/1/11 0:00:00

Research on Evaluation Method of Simulation of Infrared Imaging Sensor Based on Structural Similarity and Fidelity
LOU Shu-li,HAN Yan-li,REN Jian-cun and LI Zhao-long.Research on Evaluation Method of Simulation of Infrared Imaging Sensor Based on Structural Similarity and Fidelity[J].Infrared,2015,36(2):30-35.
Authors:LOU Shu-li  HAN Yan-li  REN Jian-cun and LI Zhao-long
Affiliation:Department Of Control Engineering,Naval Aeronautical and Astronautical University,Yantai,Shandong,264001,Department Of Control Engineering,Naval Aeronautical and Astronautical University,Yantai,Shandong,264001,Department Of Control Engineering,Naval Aeronautical and Astronautical University,Yantai,Shandong,264001,Department Of Control Engineering,Naval Aeronautical and Astronautical University,Yantai,Shandong,264001
Abstract:Since the effectiveness of infrared imaging guidance simulation is determined by the validity and fidelity of typical effect modeling and simulation of an infrared imaging sensor system, it is very significant to study the evaluation method of typical effect simulation of an infrared imaging sensor system. A method for evaluating the simulation image of an infrared imaging sensor based on Structural Similarity (SSIM) and fidelity is proposed due to the shortage of evaluation method of simulation of infrared imaging sensor systems at present. In the method, the SSIM is used to evaluate the brightness, contrast and structural similarity of the simulated image while the fidelity is used to evaluate the spatial geometric characteristics and gray level distribution of the simulated image. The experimental result shows that the proposed method can evaluate the degradation effects such as blurring and noise of the infrared imaging sensor system effectively. It is suitable to verify and evaluate the quality of modeling and simulated images of infrared sensors.
Keywords:infrared imaging sensor  modeling and simulation  image assessment
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