Laser & Optoelectronics Progress, Volume. 61, Issue 22, 2233001(2024)

Optimization and Experimental Analysis of Dynamic Range for Stereoscopic Display Based on Visual Mechanism

Yueyuan Zhang1,2,3, Zhenping Xia1,2、*, Qishuai Han1, and Cheng Cheng1,2
Author Affiliations
  • 1College of Electronics and Information Engineering, Suzhou University of Science and Technology, Suzhou 215009, Jiangsu , China
  • 2Jiangsu Industrial Intelligent and Low-carbon Technology Engineering Center, Suzhou 215009, Jiangsu , China
  • 3Shi -Cheng Laboratory for Information Display and Visualization, Nanjing210013, Jiangsu , China
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    Recent concepts, such as the"metaverse"and"digital twins"‍, indicate a greater necessity for higher perception quality from stereoscopic displays. This can be addressed by applying human factors engineering, which is an advancement in stereoscopic-display technology. Stereoscopic-display technology can be further developed by employing ergonomics to enhance the perception quality of stereoscopic displays. To optimize the perception quality of stereoscopic scenes, herein we propose a method to improve the dynamic range of stereoscopic scenes using the binocular fusion and binocular rivalry mechanisms in the human-eye visual system. This approach is based on the visual characteristics of human eyes when viewing stereoscopic scenes. Results of three progressive visual-perception tests confirm the feasibility of the approach. Stereo images subjected to the proposed method show improved visual-perception quality, and the statistical results show a significant increase in their dynamic ranges, all of which are within the dynamic range of good human-eye perception (0.35μ0.61). Additionally, the approach does not affect depth perception based on stereo images. This technique can offer a theoretical foundation for improving the quality of stereoscopic-scene perception.

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    Yueyuan Zhang, Zhenping Xia, Qishuai Han, Cheng Cheng. Optimization and Experimental Analysis of Dynamic Range for Stereoscopic Display Based on Visual Mechanism[J]. Laser & Optoelectronics Progress, 2024, 61(22): 2233001

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    Paper Information

    Category: Vision, Color, and Visual Optics

    Received: Feb. 18, 2024

    Accepted: Mar. 25, 2024

    Published Online: Nov. 14, 2024

    The Author Email: Zhenping Xia (xzp@usts.edu.cn)

    DOI:10.3788/LOP240700

    CSTR:32186.14.LOP240700

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