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Vision correction for computer users based on image pre-compensation with changing pupil size

机译:基于瞳孔大小变化的图像预补偿的计算机用户视力矫正

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Many computer users suffer varying degrees of visual impairment, which hinder their interaction with computers. In contrast with available methods of vision correction (spectacles, contact lenses, LASIK, etc.), this paper proposes a vision correction method for computer users based on image pre-compensation. The blurring caused by visual aberration is counteracted through the pre-compensation performed on images displayed on the computer screen. The pre-compensation model used is based on the visual aberration of the user''s eye, which can be measured by a wavefront analyzer. However, the aberration measured is associated with one specific pupil size. If the pupil has a different size during viewing of the pre-compensated images, the pre-compensation model should also be modified to sustain appropriate performance. In order to solve this problem, an adjustment of the wavefront function used for pre-compensation is implemented to match the viewing pupil size. The efficiency of these adjustments is evaluated with an “artificial eye” (high resolution camera). Results indicate that the adjustment used is successful and significantly improves the images perceived and recorded by the artificial eye.
机译:许多计算机用户遭受不同程度的视觉障碍,这阻碍了他们与计算机的交互。与现有的视力矫正方法(眼镜,隐形眼镜,LASIK等)相比,本文提出了一种基于图像预补偿的计算机用户视力矫正方法。通过对计算机屏幕上显示的图像执行的预补偿,可以抵消由视觉像差引起的模糊。所使用的预补偿模型基于用户眼睛的视觉像差,可以通过波前分析仪进行测量。但是,测量的像差与一个特定的瞳孔大小相关。如果在观看预补偿图像期间瞳孔大小不同,则还应修改预补偿模型以维持适当的性能。为了解决该问题,对用于预补偿的波前功能进行调整以匹配观看瞳孔尺寸。使用“人造眼”(高分辨率相机)评估这些调整的效率。结果表明所使用的调整是成功的,并且显着改善了人工眼感知和记录的图像。

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