无需眼镜即可实时矫正视力，让屏幕自适应用户眼球缺陷。
Real-Time Computational Visual Aberration Correcting Display Through High-Contrast Inverse Blurring
- 用眼球点扩散函数反卷积图像，实现动态视觉矫正。
- 在视角变化时仍保持清晰度，SSIM达83.04%。
- 适合需要无镜佩戴的场景，如手术、驾驶或运动中。
本文提出一种实时视觉矫正显示（VCD）框架，无需传统眼镜或隐形眼镜即可纠正屈光性视觉异常，尤其适用于佩戴不便的场景。通过使用与观看者眼球相关的点扩散函数（PSF）对显示图像进行反卷积实现矫正，并采用掩码技术缓解振铃伪影。为提升对比度并减少色彩失真，反卷积仅在YUV/YCbCr色彩空间的亮度通道（luma）上执行。此外，引入一种基于观看者相对于屏幕球坐标实时计算PSF的方法，确保视角偏移时矫正效果依然准确无畸变，提供一致的视觉改善。实验结果表明，该显示系统显著提升视觉清晰度，结构相似性指数（SSIM）达83.04%，验证了方法的有效性。
原文摘要 · Abstract (English)
This paper presents a framework for developing a live vision-correcting display (VCD) to address refractive visual aberrations without the need for traditional vision correction devices like glasses or contact lenses, particularly in scenarios where wearing them may be inconvenient. We achieve this correction through deconvolution of the displayed image using a point spread function (PSF) associated with the viewer's eye. We address ringing artefacts using a masking technique applied to the prefiltered image. We also enhance the display's contrast and reduce color distortion by operating in the YUV/YCbCr color space, where deconvolution is performed solely on the luma (brightness) channel. Finally, we introduce a technique to calculate a real-time PSF that adapts based on the viewer's spherical coordinates relative to the screen. This ensures that the PSF remains accurate and undistorted even when the viewer observes the display from an angle relative to the screen normal, thereby providing consistent visual correction regardless of the viewing angle. The results of our display demonstrate significant improvements in visual clarity, achieving a structural similarity index (SSIM) of 83.04%, highlighting the effectiveness of our approach.
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