姚军财. 人眼亮度和色度对比敏感视觉特性的#br# 测量及其模型研究[J]. 应用光学, 2016, 37(6): 880-886. DOI: 10.5768/JAO201637.0603002
引用本文: 姚军财. 人眼亮度和色度对比敏感视觉特性的#br# 测量及其模型研究[J]. 应用光学, 2016, 37(6): 880-886. DOI: 10.5768/JAO201637.0603002
Yao Juncai. Study on measuring human luminance and color contrast sensitivity visual characteristics and their models[J]. Journal of Applied Optics, 2016, 37(6): 880-886. DOI: 10.5768/JAO201637.0603002
Citation: Yao Juncai. Study on measuring human luminance and color contrast sensitivity visual characteristics and their models[J]. Journal of Applied Optics, 2016, 37(6): 880-886. DOI: 10.5768/JAO201637.0603002

人眼亮度和色度对比敏感视觉特性的#br# 测量及其模型研究

Study on measuring human luminance and color contrast sensitivity visual characteristics and their models

  • 摘要: 为了探讨人眼对比度敏感视觉特性,利用显示器显示11种空间频率、平均亮度为10、60和90 cd/m2的目标光栅,设计实验测量了120名青年的人眼亮度和色度对比敏感度数据,并采用最小二乘法对测量数据进行了分析和拟合,提出了一种多项式调制下的指数形式的人眼亮度和色度对比敏感视觉特性的数学模型,且与国内外典型的模型进行了对比分析。结果表明:随着空间频率f的增加,人眼对比敏感度先增加后减小,当f在3 cpd~4 cpd(周/度)时,人眼最为敏感,其与目前典型的视觉模型基本一致。表明提出的测量方法是有效的、可行的,提出的视觉模型具有一定的科学性;且该测量方法操作简单,视觉模型计算复杂度低,在实际应用中优于典型的测量方法和视觉模型,具有一定的参考价值。

     

    Abstract: In order to explore the contrast sensitivity characteristics of human visual system (HVS), using the liquidcrystal display to display the target grating with 11 kinds of spatial frequencies and 3 average brightnesses for 10 cd/m2, 60 cd/m2 and 90 cd/m2, the experiments was designed to measure the data of the luminance and color contrast sensitivity of HVS of 120 youths. After the data was analyzed and fitted by the least square method, a mathematics model mixed with polynomial and exponential was proposed to describe the contrast sensitivity characteristics of HVS. And the model was compared with the typical models at home and abroad. The results show that the human visual contrast sensitivity increases firstly and then decreases with the increase of the spatial frequency, and when the f is 3 cpd~4 cpd, HVS is the most sensitive, which is consistent with the typical visual models. These show the proposed measurement method is effective and feasible, the proposed visual model is scientific. Furthermore, the operation of this measurement method is easy, the calculation complexity of visual model is relatively smaller. They are superior to the typical measurement method and visual models in practical application, which can offer some reference value.

     

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