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Joint blind deconvolution and image correlography via a Bayesian image reconstruction algorithm

机译:贝叶斯图像重建算法联合盲去卷积和图像相关

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摘要

Laser imaging through atmospheric turbulence is a challenging problem due primarily to turbulence close to the aperture. Amplitude measurements of the return beam in the plane of the aperture are immune to turbulence, but contain limited information about the Fourier phase of the target image. This paper suggests a method for using blind deconvolution of laser speckle degraded imagery together with correlography techniques in order to simplify the phase retrieval problem and produce coherent image reconstructions with spatial resolution not limited by the atmospheric conditions. The viability of the technique is demonstrated via computer simulation.
机译:通过大气湍流进行激光成像是一个具有挑战性的问题,这主要是由于靠近孔径的湍流引起的。孔径平面中返回光束的幅度测量不受湍流影响,但包含有关目标图像傅立叶相位的有限信息。为了简化相位检索问题并产生空间分辨率不受大气条件限制的相干图像重建,本文提出了一种结合使用激光散斑退化图像的盲去卷积和相关成像技术的方法。通过计算机仿真证明了该技术的可行性。

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