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Reconstruction of images degraded by aerosol scattering and measurement noise

机译：重建因气溶胶散射和测量噪声而退化的图像

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摘要

Images measured through the atmosphere are degraded by scattering and absorption from aerosols along the path and by atmospheric turbulence. In the presence of heavy scattering at visible and infrared wave-lengths, the distances over which reasonable observations are possible are quite short compared to astronomical imaging paradigms, and aerosol scattering effects dominate the degradation of the point spread function (PSF) due to atmospheric effects. In addition to aerosol-induced blurring, measurement noise effects are present in observed images. We examine the problem of reconstructing images degraded by aerosol blur and measurement noise using estimates of the overall PSF, which account for unscattered and scattered radiation detected by the imaging system. Representative images of a spoke target acquired under various conditions of scattering and photon flux levels were simulated, and reconstruction of the degraded images is performed using two linear reconstruction algorithms: a Wiener filter and a constrained least squares filter. Results of the reconstructions show that spatial resolution can be recovered in badly blurred images up to the limit imposed by the noise effective cutoff spatial frequency of the measurement.
机译：沿大气层测量的图像会由于沿路径的气溶胶的散射和吸收以及大气湍流而退化。在可见光和红外波长处存在大量散射的情况下，与天文成像范例相比，可以进行合理观察的距离非常短，并且由于大气效应，气溶胶散射效应主导了点扩散函数（PSF）的退化。除了气溶胶引起的模糊外，在观察到的图像中还存在测量噪声的影响。我们使用整体PSF的估计值来研究重建因气溶胶模糊和测量噪声而退化的图像的问题，该估计值说明了成像系统检测到的未散射和散射辐射。模拟了在各种散射和光子通量水平条件下获取的辐条目标的代表性图像，并使用两种线性重建算法（维纳滤波器和约束最小二乘滤波器）对退化图像进行了重建。重建结果表明，可以在严重模糊的图像中恢复空间分辨率，直至达到噪声有效截止空间频率所施加的极限。

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  • 来源
    《Optical engineering》 |2015年第3期|033101.1-033101.9|共9页
  • 作者

    Mohamed E. Hanafy; Michael C. Roggemann; Durdu O. Guney;

  • 作者单位

    Michigan Technological University, Department of Electrical and Computer Engineering, 1400 Townsend Drive, Houghton, Michigan 49931, United States;

    Michigan Technological University, Department of Electrical and Computer Engineering, 1400 Townsend Drive, Houghton, Michigan 49931, United States;

    Michigan Technological University, Department of Electrical and Computer Engineering, 1400 Townsend Drive, Houghton, Michigan 49931, United States;

  • 收录信息 美国《科学引文索引》(SCI);美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

    scattering; point spread function; aerosol blur; measurement noise; linear reconstruction;

    机译：散射;点扩散功能气溶胶模糊测量噪声线性重建;

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