Chromatic and wavefront aberrations: L-, M- and S-cone stimulation with typical and extreme retinal image quality.

Chromatic and wavefront aberrations: L-, M- and S-cone stimulation with typical and extreme retinal image quality.
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DOI:
10.1016/j.visres.2011.08.020
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发表时间:
2011-11
期刊:
影响因子:
1.8
通讯作者:
Shevell, Steven K.
Shevell, Steven K.
中科院分区:
心理学3区
文献类型:
--
作者:
Autrusseau, Florent;Thibos, Larry;Shevell, Steven K.

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影响视觉感知的第一个生理过程是眼睛的光学。视网膜图像受到瞳孔衍射和多种光学缺陷的影响。考虑了瞳孔孔径、色差和波前像差的眼睛模型被用来确定与波长相关的点扩散函数,该函数可以与每个点的光光谱分布指定的任何刺激进行卷积。由此产生的视网膜光光谱分布用于确定每种视锥细胞类型(S、M 和 L)的刺激空间分布。此外,使用泽尼克系数总体值的统计模型评估了视网膜图像质量的个体差异,该系数表征了眼睛光学缺陷的特征。针对等能量谱 (EES)“白”光,确定了 S、M 和 L 视锥细胞的中值和相对极端(第 5 个和第 95 个百分位)调制传递函数 (MTF)。考虑波前像差后,S 锥体的典型 MTF 与 L 和 M 锥体的 MTF 更相似,但即使有像差,S 锥体 MTF 通常也低于 M 或 L 锥体 MTF 至少 10 倍(一个对数单位)。更一般地说,这里提出的模型提供了一种用于估计呈现给眼睛的任何刺激的 S、M 和 L 视锥细胞的视网膜图像质量的技术。该模型应用于一些信息丰富的示例。
The first physiological process influencing visual perception is the optics of the eye. The retinal image is affected by diffraction at the pupil and several kinds of optical imperfections. A model of the eye, which takes account of pupil aperture, chromatic aberration and wavefront aberrations, was used to determine wavelength-dependent point-spread functions, which can be convolved with any stimulus specified by its spectral distribution of light at each point. The resulting retinal spectral distribution of light was used to determine the spatial distribution of stimulation for each cone type (S, M and L). In addition, individual differences in retinal-image quality were assessed using a statistical model for population values of Zernike coefficients, which characterize imperfections of the eye's optics. The median and relatively extreme (5th and 95th percentile) modulation transfer functions (MTFs) for the S, M and L cones were determined for equal-energy-spectrum (EES) ‘white’ light. The typical MTF for S cones was more similar to the MTF for L and M cones after taking wavefront aberrations into account but even with aberrations the S-cone MTF typically was below the M- or L-cone MTF by a factor of at least 10 (one log unit). More generally, the model presented here provides a technique for estimating retinal image quality for the S, M and L cones for any stimulus presented to the eye. The model is applied to some informative examples.
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