Bispectral imaging through unknown deterministic aberrations

Donald T. Miller, D. Cho, G. Morris, David Williams
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引用次数: 4

Abstract

When the deterministic aberrations are known in an optical system, traditional de-blurring methods, such as the Wiener filter and aberration compensating filters, are effective. However, when the aberrations are difficult to quantify, as are telescope aberrations or the aberrations in the human eye, more practical methods are needed. One potential method for de-blurring a system with unknown aberrations is the bispectral imaging method. This image recovery technique reconstructs the object's Fourier phase by using a sequence of statistically independent aberrated images of the spatially incoherent object. It has been found to be promising in removing the effects of deterministic aberrations when random aberrations are present or are artificially introduced into the system.1, 2 Through computer simulations, we have found the correct amount of random aberrations to have present in a system containing deterministic aberrations to optimize the image quality of the reconstruction at high light levels. Defocus and several third order aberrations were considered in the isoplanatic case. The performance of this method was characterized by reconstructing a point source and computing its Strehl ratio. These results will be used to incorporate the bispectral imaging method as part of a noninvasive technique to reconstruct high resolution images of the eye's fundus in human subjects. Computer simulated images will be presented.
通过未知确定性像差的双光谱成像
当光学系统中存在确定性像差时,传统的去模糊方法,如维纳滤波器和像差补偿滤波器,是有效的。然而,当像望远镜像差或人眼像差难以量化时,需要更实用的方法。一个潜在的方法去模糊一个系统与未知的像差是双光谱成像方法。这种图像恢复技术通过使用一组统计独立的空间不相干物体的像差图像来重建物体的傅里叶相位。当随机畸变存在或人为引入系统时,它被发现在消除确定性畸变的影响方面是有希望的。1,2通过计算机模拟,我们发现了包含确定性像差的系统中存在的正确数量的随机像差,以优化高光水平下重建的图像质量。在等平面情况下考虑了散焦和一些三阶像差。该方法通过重构点源并计算其Strehl比来表征其性能。这些结果将用于将双光谱成像方法作为非侵入性技术的一部分来重建人类受试者的眼底高分辨率图像。将展示计算机模拟图像。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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