Laboratoire MIPA, Université de Nîmes, Nîmes, France.
Carl Zeiss Meditec, Inc., Dublin, California, USA.
J Vis. 2024 Apr 1;24(4):14. doi: 10.1167/jov.24.4.14.
Many experimental studies show that metrics of visual image quality can predict changes in visual acuity due to optical aberrations. Here we use statistical decision theory and Fourier optics formalism to demonstrate that two metrics known in the field of vision sciences are approximations of two different theoretical models of linear observers. The theory defines metrics of visual acuity to potentially predict changes in visual acuity due to optical aberrations, without needing a posteriori scale or offset. We illustrate our approach with experiments, using combinations of defocus and spherical aberration, and pure coma.
许多实验研究表明,视觉图像质量的度量指标可以预测由于像差引起的视力变化。在这里,我们使用统计决策理论和傅里叶光学形式来证明,视觉科学领域的两种熟知的度量指标是两种不同的线性观测器理论模型的近似。该理论定义了视力度量指标,以便潜在地预测由于像差引起的视力变化,而无需事后调整标度或偏移。我们使用离焦和球差以及纯彗差的组合实验来说明我们的方法。