Acta Optica Sinica, Volume. 41, Issue 10, 1005001(2021)

Viewing-Angle-Compensation-Based Image Segmentation Algorithm for Dual-Layer LCDs

Qibin Feng1, Kai Su2, Zi Wang1, and Guoqiang Lü2、*
Author Affiliations
  • 1National Engineering Laboratory of Special Display Technology, National Key Laboratory of Advanced Display Technology, Academy of Opto-Electric Technology, Hefei University of Technology, Hefei, Anhui 230009, China
  • 2School of Instrument Science and Opto-Electronics Engineering, Hefei University of Technology, Hefei, Anhui 230009, China
  • show less

    Due to its low contrast ratio (CR), liquid crystal display (LCD) is greatly challenged by OLED. Dual-layer LCD can effectively reduce the light leakage and improve the CR. However, its two LC panels can display two layers of images, and displayed ghosts may appear in the case of oblique view, which deteriorates the display quality. To this end, we proposed a viewing-angle-compensation-based image segmentation algorithm. Then, the positions of light at different viewing angles that passed through the two LC panels were recorded and the mapping matrix was therefore established. The transmittance of the dual-layer LCDs was optimized to obtain the minimum error between the initial image and the reconstructed image at all the set viewing angles. The simulation results show that at five viewing angles, the proposed algorithm presents larger peak signal to noise ratio (PSNR) than the other existing algorithms, which proves that this algorithm can achieve a better tradeoff between image quality and viewing angles.

    Tools

    Get Citation

    Copy Citation Text

    Qibin Feng, Kai Su, Zi Wang, Guoqiang Lü. Viewing-Angle-Compensation-Based Image Segmentation Algorithm for Dual-Layer LCDs[J]. Acta Optica Sinica, 2021, 41(10): 1005001

    Download Citation

    EndNote(RIS)BibTexPlain Text
    Save article for my favorites
    Paper Information

    Category: Diffraction and Gratings

    Received: Nov. 4, 2020

    Accepted: Dec. 6, 2020

    Published Online: May. 8, 2021

    The Author Email: Lü Guoqiang (guoqianglv@hfut.edu.cn)

    DOI:10.3788/AOS202141.1005001

    Topics