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Real Time Phase Diversity Advanced Image Processing and Wavefront Sensing

机译:实时相位分集高级图像处理和波前传感

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摘要

This paper will describe a state-of-the-art approach to real time wavefront sensing and image enhancement. It will explore Boeing existing technology that realizes a 50 Hz frame rate (with a path to 1 KHz and higher). At this higher rate, Phase diversity will be readily applicable to compensate for distortions of large dynamic bandwidth such as those of the atmosphere. We will describe various challenges in aligning a two-camera phase diversity system. Such configurations make it almost impossible to process the captured images without additional upgrade in the algorithm to account for alignment errors. An example of an error is the relative misalignment of the two images, the "best-focus" and the diversity image where it is extremely hard to maintain alignment to less than a fraction of one pixel. We will show that the algorithm performance increases dramatically when we account for these errors in the phase diversity estimation process. Preliminary evaluation has assessed a NIIRS increase of ~ 3 from the "best-focus" to the enhanced image. Such a performance improvement would greatly increase the operating range (or, equivalently, decrease the weight) of many optical systems.
机译:本文将介绍一种最新的实时波前感测和图像增强方法。它将探索波音公司现有的技术,该技术可实现50 Hz的帧频(路径可达1 KHz或更高)。以这种较高的速率,相位分集将很容易应用于补偿大动态带宽(如大气)的失真。我们将描述在调整两相机相位分集系统时的各种挑战。这样的配置几乎不可能在不对算法进行额外升级以解决对齐错误的情况下处理捕获的图像。一个错误的例子是两个图像(“最佳聚焦”和分集图像)的相对未对准,其中很难将对准保持在一个像素的几分之一以下。我们将证明,当我们在相位分集估计过程中考虑这些误差时,算法性能会大大提高。初步评估评估了NIIRS从“最佳焦点”到增强图像的增加幅度约为3。这种性能改进将大大增加许多光学系统的工作范围(或等效地减少重量)。

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