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Dynamic simulation for distortion image with turbulence atmospheric transmission effects

机译：具有湍流大气传输效应的畸变图像的动态仿真

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The imaging through atmospheric turbulence is an inevitable problem encountered by infrared imaging sensors working in the turbulence atmospheric environment. Before light-rays enter the window of the imaging sensors, the atmospheric turbulence will randomly interfere with the transmission of the light waves came from the objects, causing the distribution of image intensity values on the focal plane to diffuse, the peak value to decrease, the image to get blurred, and the pixels to deviate, and making image identification very difficult. Owing to the fact of the long processing time and that the atmospheric turbulent flow field is unknown and hard to be described by mathematical models, dynamic simulation for distortion Image with turbulence atmospheric transmission effects is much more difficult and challenging in the world. This paper discusses the dynamic simulation for distortion Image of turbulence atmospheric transmission effect. First of all, with the data and the optical transmission model of the turbulence atmospheric, the ray-tracing method is applied to obtain the propagation path of optical ray which propagates through the high-speed turbulent flow field, and then to calculate the OPD from the reference wave to the reconverted wave front and obtain the point spread function (PSF). Secondly, infrared characteristics models of typical scene were established according to the theory of infrared physics and heat conduction, and then the dynamic infrared image was generated by OpenGL. The last step is to obtain the distortion Image with turbulence atmospheric transmission effects .With the data of atmospheric transmission computation, infrared simulation image of every frame was processed according to the theory of image processing and the real-time image simulation, and then the dynamic distortion simulation images with effects of blurring, jitter and shifting were obtained. Above-mentioned simulation method can provide the theoretical bases for recovering the blur images and analyzing the turbulence atmospheric transmission effects.
机译：通过大气湍流成像是在大气湍流环境中工作的红外成像传感器不可避免的问题。在光线进入成像传感器的窗口之前，大气湍流将随机干扰来自物体的光波的传输，从而导致焦平面上的图像强度值的分布扩散，峰值减小，图像变得模糊，像素偏离，这使得图像识别非常困难。由于处理时间长且大气湍流场未知且难以用数学模型描述，因此动态模拟具有湍流大气传输效应的畸变图像在世界上变得更加困难和具有挑战性。本文讨论了湍流大气传输效应畸变像的动态仿真。首先，利用湍流大气的数据和光学传输模型，采用射线追踪法获得在高速湍流场中传播的光线的传播路径，然后从中计算出OPD。将参考波移至转换后的波前，并获得点扩展函数（PSF）。其次，根据红外物理和热传导理论，建立了典型场景的红外特征模型，并利用OpenGL生成了动态红外图像。最后一步是获得具有湍流大气传输效果的畸变图像。利用大气传输计算数据，根据图像处理理论和实时图像仿真对每一帧的红外模拟图像进行处理，然后进行动态处理。获得了具有模糊，抖动和移位影响的失真模拟图像。上述仿真方法可为恢复模糊图像和分析湍流大气传输效应提供理论依据。

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