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首页> 外文会议>SIBGRAPI Conference on Graphics, Patterns and Images >Personalized Visual Simulation and Objective Validation of Low-Order Aberrations of the Human Eye
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Personalized Visual Simulation and Objective Validation of Low-Order Aberrations of the Human Eye

机译：个性化的视觉模拟和人眼低阶像差的客观验证

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摘要

We present a practical approach for personalized simulation and objective validation of the effects of low-order aberrations (i.e., myopia, hyperopia and astigmatism) on optical systems, such as the human eye. We characterize the optical aberrations using a wavefront aberration function derived from one's eyeglasses or contact lenses prescription data, expressed in terms of Zernike polynomials. Given the prescription data, a target image at known distance from the subject, and a specified pupil size, the simulation efficiently computes the corresponding aberrated view. We validate the quality of our simulations using ground truth data captured by a camera with the same kind of aberrations. For validation, we use three objective metrics: structural similarity (SSIM), peak signal-to-noise ratio (PSNR), and absolute pixelwise differences (AD) between the simulated images and the ones captured by the camera with induced aberrations. Our results achieved a SSIM mean value of 0.93 (minimum of 0.91) and a PSNR mean value of 35.50 dB (minimum of 29.50 dB), showing that they are structurally similar and virtually indistinguishable from the ground truth images captured by the camera.
机译：我们提供了一种实用的方法，用于对光学系统（例如人眼）的低阶像差（即近视，远视和散光）的效果进行个性化仿真和客观验证。我们使用从一个人的眼镜或隐形眼镜处方数据得出的波前像差函数来表征光学像差，以Zernike多项式表示。给定处方数据，距受试者已知距离的目标图像以及指定的瞳孔大小，该模拟有效地计算了相应的像差视图。我们使用具有相同像差的相机捕获的地面真实数据来验证仿真的质量。为了进行验证，我们使用了三个客观指标：结构相似度（SSIM），峰值信噪比（PSNR）以及模拟图像与相机使用诱发像差捕获的图像之间的绝对像素差异（AD）。我们的结果达到了SSIM平均值0.93（最小值0.91）和PSNR平均值35.50 dB（最小值29.50 dB），表明它们在结构上相似并且与相机捕获的地面真实图像几乎没有区别。

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