Acta Optica Sinica, Volume. 39, Issue 5, 0533002(2019)

Color Characterization of Barrier-Type Autostereoscopic Displays

Zaiqing Chen1,2, Kai Chen1,2, Xiaoqiao Huang2, Yonghang Tai2, Junsheng Shi2、*, and Lijun Yun1,2
Author Affiliations
  • 1 School of Information Science and Technology, Yunnan Normal University, Kunming, Yunnan 650500, China
  • 2 Yunnan Key Laboratory of Optoelectronic Information Technology, Kunming, Yunnan 650500, China
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    The technology for barrier-type autostereoscopic displays that uses binocular disparity to display three-dimensional experiences has been maturing gradually. To quantitatively study the effect of color on visual comfort, the measurements of channel independence, constant chromaticity, and color characterization accuracy are needed. This paper reports these measurements recorded from a barrier-type autostereoscopic display that uses a color active matrix liquid crystal with thin film transistor. The results show that the channel independence of the stereoscopic display is poor in the three-dimensional (3D) mode, but it is very good in the two-dimensional (2D) mode. The chromaticity of the display is consistent in both 3D and 2D modes. In both modes, the characterization accuracies of the gain-offset-gamma (GOG) model are 3.64 and 0.99 times the CIELAB color difference Δ E*ab, respectively, and the accuracies of the look-up table (LUT) model are 2.36 and 0.65 times the CIELAB color difference Δ E*ab, respectively. The display in the 3D mode is affected by crosstalk. Therefore, the color characterization in the 3D mode is less accurate than that in the 2D mode. The characterization accuracy of the LUT method is sufficient for the requirements of the most color-vision experiments. However, to achieve accurate color prediction and control, other more accurate color characterization methods are needed to be developed.

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    Zaiqing Chen, Kai Chen, Xiaoqiao Huang, Yonghang Tai, Junsheng Shi, Lijun Yun. Color Characterization of Barrier-Type Autostereoscopic Displays[J]. Acta Optica Sinica, 2019, 39(5): 0533002

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    Paper Information

    Category: Vision, Color, and Visual Optics

    Received: Nov. 28, 2018

    Accepted: Jan. 21, 2019

    Published Online: May. 10, 2019

    The Author Email:

    DOI:10.3788/AOS201939.0533002

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