Suppr超能文献

通过模拟对中央凹视觉模型进行测试。

Test of a model of foveal vision by using simulations.

作者信息

Peli E

机构信息

Schepens Eye Research Institute, Harvard Medical School, Boston, Massachusetts 02114, USA.

出版信息

J Opt Soc Am A Opt Image Sci Vis. 1996 Jun;13(6):1131-8. doi: 10.1364/josaa.13.001131.

Abstract

The appearance of four different images from three different distances was simulated by using the individual contrast sensitivity functions (CSF's) of normally sighted observers. The simulations were generated by using the observers' CSF's as a threshold in a pyramidal vision model of band-limited local contrast [J. Opt. Soc. Am A 7, 2030 (1990)]. Simulations based on CSF's obtained in an orientation discrimination task underestimated the observer's sensitivity in discriminating the images. Simulations based on CSF's obtained in a detection task provided a good estimate of observer's performance. The testing method was shown to be sensitive enough to be affected by the high-frequency residual, which is frequently ignored in visual models and simulations. An image-dependence effect found when the high-frequency residual was present was eliminated when the residual artifact was removed. The simulations based on the pyramidal vision model accurately predicted the distance at which they were discriminated from the original image, and thus this model may also serve as the basis for image-quality metrics. The testing method developed can also be used to determine the type of CSF that best represents observer performance in a task.

摘要

通过使用正常视力观察者的个体对比敏感度函数(CSF),模拟了来自三个不同距离的四张不同图像的外观。这些模拟是通过将观察者的CSF用作带限局部对比度的金字塔视觉模型中的阈值来生成的[《美国光学学会志A》7, 2030 (1990)]。基于在方向辨别任务中获得的CSF进行的模拟低估了观察者辨别图像的敏感度。基于在检测任务中获得的CSF进行的模拟对观察者的表现提供了良好的估计。测试方法被证明足够灵敏,会受到高频残差的影响,而高频残差在视觉模型和模拟中经常被忽略。当存在高频残差时发现的图像依赖效应在去除残差伪影后被消除。基于金字塔视觉模型的模拟准确预测了它们与原始图像被辨别的距离,因此该模型也可作为图像质量指标的基础。所开发的测试方法还可用于确定在任务中最能代表观察者表现的CSF类型。

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