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基于眼波前像差统计模型生成的虚拟眼的视网膜像质。

Retinal image quality for virtual eyes generated by a statistical model of ocular wavefront aberrations.

机构信息

School of Optometry, Indiana University, Bloomington, IN 47405, USA.

出版信息

Ophthalmic Physiol Opt. 2009 May;29(3):288-91. doi: 10.1111/j.1475-1313.2009.00662.x.

Abstract

A statistical model of the aberration structure of normal, well-corrected eyes was developed previously (Opthal. Physiol. Opt22, 427-433, 2002.) from wavefront aberrations measured for 100 normal eyes (J. Opt. Soc. Am. A.19, 2329-2348, 2002.). The model is capable of generating an unlimited number of wavefront aberration functions for virtual eyes drawn randomly from a multivariate Gaussian distribution of Zernike aberration coefficients. This report provides evidence that monochromatic retinal image quality in virtual eyes, as quantified by 31 different image quality metrics (J. Vis.4, 329-351, 2004.), is representative of human eyes but slightly exaggerates the degradation of the retinal image caused by ocular aberrations. A demonstration program for producing virtual eyes is included as an Appendix to this paper.

摘要

先前已经开发出一种正常、矫正良好的眼睛像差结构的统计模型(《眼科生理学与光学》22,427-433,2002 年),该模型是基于对 100 只正常眼睛的波前像差测量结果得出的(《美国光学学会会刊 A 辑》19,2329-2348,2002 年)。该模型能够为从泽尼克像差系数的多元高斯分布中随机抽取的虚拟眼睛生成无限数量的波前像差函数。本报告提供的证据表明,虚拟眼睛的单色视网膜图像质量(通过 31 种不同的图像质量指标进行量化)(《视觉》4,329-351,2004 年)代表了人类眼睛,但略微夸大了眼像差引起的视网膜图像退化。本文附录中包含了一个用于生成虚拟眼睛的演示程序。

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