• Chinese Journal of Lasers
  • Vol. 50, Issue 19, 1909002 (2023)
Yichong Zhu1 and Yuan Ji1、2、*
Author Affiliations
  • 1Microelectronics Research and Development Center, Shanghai University, Shanghai 200072, China
  • 2School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200072, China
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    DOI: 10.3788/CJL230535 Cite this Article Set citation alerts
    Yichong Zhu, Yuan Ji. OLED-on-Silicon Micro-Display Based on Asymmetric Elliptical Foveated JND Model[J]. Chinese Journal of Lasers, 2023, 50(19): 1909002 Copy Citation Text show less
    19-bit-plane image features of Lena
    Fig. 1. 19-bit-plane image features of Lena
    19-bit-plane CR distribution of Lena
    Fig. 2. 19-bit-plane CR distribution of Lena
    Distribution of field of view test points
    Fig. 3. Distribution of field of view test points
    Image for exploring luminance masking effect
    Fig. 4. Image for exploring luminance masking effect
    Image for exploring contrast masking effect
    Fig. 5. Image for exploring contrast masking effect
    Asymmetric foveated concave fitting ellipse
    Fig. 6. Asymmetric foveated concave fitting ellipse
    Subjective experimental results for luminance masking experiment. (a) Relationship between JND and eccentricity;
    Fig. 7. Subjective experimental results for luminance masking experiment. (a) Relationship between JND and eccentricity;
    Subjective experimental results for contrast masking experiment. (a) Relationship between JND and contrast; (b) relationship among JND, contrast and luminance; (c) JND value distribution in foveated range
    Fig. 8. Subjective experimental results for contrast masking experiment. (a) Relationship between JND and contrast; (b) relationship among JND, contrast and luminance; (c) JND value distribution in foveated range
    Noise injection distribution of three kinds of JND models. (a) Original image; (b) model in Ref. [12]; (c) model in Ref. [11];
    Fig. 9. Noise injection distribution of three kinds of JND models. (a) Original image; (b) model in Ref. [12]; (c) model in Ref. [11];
    Enlarged view of central area after noise pollution for three JND models. (a) Image after noise pollution; (b) model in Ref. [12]; (c) model in Ref. [11]; (d) our model
    Fig. 10. Enlarged view of central area after noise pollution for three JND models. (a) Image after noise pollution; (b) model in Ref. [12]; (c) model in Ref. [11]; (d) our model
    Hardware system. (a) Overall framework; (b) picture of hardware test platform
    Fig. 11. Hardware system. (a) Overall framework; (b) picture of hardware test platform
    Comparison of 19-bit-plane compression ratio distribution of Lena before and after algorithm processing
    Fig. 12. Comparison of 19-bit-plane compression ratio distribution of Lena before and after algorithm processing
    Compression effect comparison of images and partially enlarged view. (a) Original image; (b) model in Ref. [11]; (c) our model
    Fig. 13. Compression effect comparison of images and partially enlarged view. (a) Original image; (b) model in Ref. [11]; (c) our model
    ParameterValue
    Resolution(RGB)/pixel2560×2560
    Pixel per degree /pixel22
    Field angle /(°)120
    Table 1. Performance parameters of VR glasses based on OLED-on-silicon micro-display
    AttributeLuminance maskingContrast masking
    Background luminance0,10,20,60,100,140,180,200,220,230100,140,180,220
    Contrast luminance00,20,40,60,80
    Eccentricity /(°)1,2,3,5,10,15,20,25,30,35,40,45,50,55,601,2,3,5,10,15,20,25,30,35
    Table 2. Stimulus attributes for luminance masking and contrast masking experiments
    ImagePSNR /dBMOS
    Model in Ref.[12Model in Ref.[11Our model
    Rapids58.444.24.84.9
    Bikes59.004.34.94.9
    Buildings57.664.24.74.9
    Carnivaldolls53.464.04.64.8
    Caps59.664.34.95.0
    Churchandcapitol55.574.24.84.9
    Coinsinfountain57.034.24.84.9
    Dancers55.114.45.05.0
    House59.124.34.94.9
    Lighthouse56.124.24.85.0
    Average57.1074.244.824.91
    Table 3. Comparison of MOSs of JND models under same PSNR
    Bit-planeBIT1BIT2BIT3BIT4
    Origin CR124.09123.99123.46114.91
    Processed CR25.0019.2655.3774.23
    Table 4. Comparison of low 4-bit-plane compression ratio of Lena before and after algorithm processing
    ImagePSNR(eX=0°)/dBPSNR(eX=60°)/dBFPSNR /dBSSIMCR/%
    Ref.[11Ours

    Ref.

    11

    Ours

    Ref.

    11

    OursRef.[11Ours

    Ref.

    11

    Ours
    Bikes76.0656.3547.8453.7243.5643.570.950.9970.1646.18
    Buildings84.4462.4847.3858.5542.9945.010.960.9966.5251.60
    Caps55.7747.2651.6543.1843.750.910.9868.8431.61
    Carnivaldolls70.0165.4247.0554.3940.5047.340.870.9962.4437.08
    Coinsinfountain86.7256.5048.0855.0542.2443.650.950.9964.4241.64
    House64.1747.9356.1643.0847.660.930.9967.8036.31
    Lighthouse77.0063.3048.6756.6344.4143.780.940.9970.7838.90
    Monarch66.9459.5950.2656.4042.6145.130.900.9867.6735.68
    Ocean56.4546.7354.9142.4943.810.910.9868.8635.44
    Parrots56.0647.7854.5242.8843.340.890.9867.2938.08
    Plane65.4764.5147.8950.9642.7646.490.920.9960.6329.68
    Rapids86.4756.5746.8453.9943.0143.920.910.9969.5836.05
    Sailing474.9656.5648.3756.2843.3343.570.920.9969.1437.15
    Stream56.4547.9354.7043.4843.890.970.9968.2348.47
    Studentsculpture86.2062.5547.7756.5242.1347.040.970.9963.8049.73
    Average77.42759.51547.85254.96242.48344.7970.9270.9967.07739.573
    Table 5. Comparison of evaluation indexes and compression ratio of different compression algorithms for color image compression
    AlgorithmPSNR /dBSSIMCR /%
    Ref.[2037.660.9772.22
    Ours55.630.9939.57
    Table 6. Evaluation index and compression ratio comparison of bit-plane compression algorithms
    Yichong Zhu, Yuan Ji. OLED-on-Silicon Micro-Display Based on Asymmetric Elliptical Foveated JND Model[J]. Chinese Journal of Lasers, 2023, 50(19): 1909002
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