Vision-simulated imagery―the process of generating images that mimic the human visual system―is a valuable tool with a wide spectrum of possible applications, including visual acuity measurements, personalized planning of corrective lenses and surgeries, vision-correcting displays, vision-related hardware development, and extended reality discomfort reduction. A critical property of human vision is that it is imperfect because of the highly influential wavefront aberrations that vary from person to person. This study provides an overview of the existing computational image generation techniques that properly simulate human vision in the presence of wavefront aberrations. These algorithms typically apply ray tracing with a detailed description of the simulated eye or utilize the point-spread function of the eye to perform convolution on the input image. Based on the description of the vision simulation techniques, several of their characteristic features have been evaluated and some potential application areas and research directions have been outlined.

中文翻译：

---

用于像差人眼视觉模拟的渲染算法

视觉模拟图像——生成模仿人类视觉系统的图像的过程——是一种有价值的工具，具有广泛的可能应用，包括视力测量、矫正镜片和手术的个性化规划、视力矫正显示器、视觉相关硬件开发，并减少扩展现实的不适感。人类视觉的一个关键特性是它是不完美的，因为波前像差的影响因人而异。本研究概述了现有的计算图像生成技术，这些技术可以在存在波前像差的情况下正确模拟人类视觉。这些算法通常应用光线追踪和模拟眼睛的详细描述，或利用眼睛的点扩散函数对输入图像执行卷积。基于对视觉仿真技术的描述，评估了它们的几个特征，并概述了一些潜在的应用领域和研究方向。