• Laser & Optoelectronics Progress
  • Vol. 58, Issue 24, 2410004 (2021)
Yu Song, Zhenping Xia*, Fuyuan Hu, and Cheng Cheng
Author Affiliations
  • School of Electronic & Information Engineering, Suzhou University of Science and Technology, Suzhou, Jiangsu 215009, China
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    DOI: 10.3788/LOP202158.2410004 Cite this Article Set citation alerts
    Yu Song, Zhenping Xia, Fuyuan Hu, Cheng Cheng. Compensation Technology of Dynamic Image Perception Effect of Liquid Crystal Display[J]. Laser & Optoelectronics Progress, 2021, 58(24): 2410004 Copy Citation Text show less
    DMTF at different moving velocities and tracking speed ratio g. (a) g=1; (b) g<1
    Fig. 1. DMTF at different moving velocities and tracking speed ratio g. (a) g=1; (b) g<1
    Schematic diagram of compensation model framework for dynamic image perception effect
    Fig. 2. Schematic diagram of compensation model framework for dynamic image perception effect
    Preprocessing images displayed in eight-bit display system. (a) 8 pixel·frame-1 preprocessing image for 10 bit display system (I=1); (b) 4 pixel·frame-1 preprocessing image for 10 bit display system (I=1); (c) 8 pixel·frame-1 preprocessing image for 8 bit display system (I=0.1); (d) 4 pixel·frame-1 preprocessing image for 8 bit display system (I=0.18)
    Fig. 3. Preprocessing images displayed in eight-bit display system. (a) 8 pixel·frame-1 preprocessing image for 10 bit display system (I=1); (b) 4 pixel·frame-1 preprocessing image for 10 bit display system (I=1); (c) 8 pixel·frame-1 preprocessing image for 8 bit display system (I=0.1); (d) 4 pixel·frame-1 preprocessing image for 8 bit display system (I=0.18)
    Function curves at moving speed of 4 pixel·frame-1. (a) DMTFC' for different I values; (b) DMTF obtained by visual perception after image preprocessing
    Fig. 4. Function curves at moving speed of 4 pixel·frame-1. (a) DMTFC' for different I values; (b) DMTF obtained by visual perception after image preprocessing
    Image motion compensation preprocessing process. (a) Original image; (b) spectra of image pixels (dotted line); (c) adaptive DMTFC'; (d) spectra after preprocessing; (e) image after preprocessing
    Fig. 5. Image motion compensation preprocessing process. (a) Original image; (b) spectra of image pixels (dotted line); (c) adaptive DMTFC'; (d) spectra after preprocessing; (e) image after preprocessing
    Simulation process of dynamic image perception effect. (a) Image after preprocessing; (b) spectra of image pixels (dotted line); (c) DMTF at moving speed of 8 pixel·frame-1; (d) spectra after motion blur processing; (e) visual perception image after motion compensation
    Fig. 6. Simulation process of dynamic image perception effect. (a) Image after preprocessing; (b) spectra of image pixels (dotted line); (c) DMTF at moving speed of 8 pixel·frame-1; (d) spectra after motion blur processing; (e) visual perception image after motion compensation
    Six original images of different types. (a) Human; (b) animal; (c) scenery; (d) animation; (e) architecture; (f) vehicle
    Fig. 7. Six original images of different types. (a) Human; (b) animal; (c) scenery; (d) animation; (e) architecture; (f) vehicle
    Simulation of dynamic image perception effect. (a) Original images; (b) dynamic perception effect of original images; (c) preprocessing visual perception images of 8 bit display system; (d) preprocessing visual perception images of 10 bit display system
    Fig. 8. Simulation of dynamic image perception effect. (a) Original images; (b) dynamic perception effect of original images; (c) preprocessing visual perception images of 8 bit display system; (d) preprocessing visual perception images of 10 bit display system
    Visual perception experiment settings
    Fig. 9. Visual perception experiment settings
    Mean score and confidence interval of motion blur corresponding to different motion compensation processes. (a) Simulated velocity is 4 pixel·frame-1; (b) simulated velocity is 8 pixel·frame-1
    Fig. 10. Mean score and confidence interval of motion blur corresponding to different motion compensation processes. (a) Simulated velocity is 4 pixel·frame-1; (b) simulated velocity is 8 pixel·frame-1
    GradeMotion image quality
    5Excellent
    4Good
    3Fair
    2Poor
    1Bad
    Table 1. Grading standard of visual perception experiment
    FactordfFSig.
    Process6249.445<0.001
    Image517.517<0.001
    Processing+Image301.9990.001
    Table 2. Results of ANOVA analysis for different factors influencing on image quality
    Yu Song, Zhenping Xia, Fuyuan Hu, Cheng Cheng. Compensation Technology of Dynamic Image Perception Effect of Liquid Crystal Display[J]. Laser & Optoelectronics Progress, 2021, 58(24): 2410004
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