OLED-on-Silicon Micro-Display Based on Asymmetric Elliptical Foveated JND Model

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

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Fig. 9. Noise injection distribution of three kinds of JND models. (a) Original image; (b) model in Ref. [12]; (c) model in Ref. [11];

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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

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Fig. 11. Hardware system. (a) Overall framework; (b) picture of hardware test platform

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Fig. 12. Comparison of 19-bit-plane compression ratio distribution of Lena before and after algorithm processing

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Fig. 13. Compression effect comparison of images and partially enlarged view. (a) Original image; (b) model in Ref. [11]; (c) our model

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Table 1. Performance parameters of VR glasses based on OLED-on-silicon micro-display
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Table 1. Performance parameters of VR glasses based on OLED-on-silicon micro-display
Parameter Value
Resolution（RGB）/pixel 2560×2560
Pixel per degree /pixel 22
Field angle /（°） 120

Table 2. Stimulus attributes for luminance masking and contrast masking experiments

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Table 2. Stimulus attributes for luminance masking and contrast masking experiments

Attribute	Luminance masking	Contrast masking
Background luminance	0，10，20，60，100，140，180，200，220，230	100，140，180，220
Contrast luminance	0	0，20，40，60，80
Eccentricity /（°）	1，2，3，5，10，15，20，25，30，35，40，45，50，55，60	1，2，3，5，10，15，20，25，30，35

Table 3. Comparison of MOSs of JND models under same PSNR

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Table 3. Comparison of MOSs of JND models under same PSNR

Image	PSNR /dB	MOS
Image	PSNR /dB	Model in Ref.［12］	Model in Ref.［11］	Our model
Rapids	58.44	4.2	4.8	4.9
Bikes	59.00	4.3	4.9	4.9
Buildings	57.66	4.2	4.7	4.9
Carnivaldolls	53.46	4.0	4.6	4.8
Caps	59.66	4.3	4.9	5.0
Churchandcapitol	55.57	4.2	4.8	4.9
Coinsinfountain	57.03	4.2	4.8	4.9
Dancers	55.11	4.4	5.0	5.0
House	59.12	4.3	4.9	4.9
Lighthouse	56.12	4.2	4.8	5.0
Average	57.107	4.24	4.82	4.91

Table 4. Comparison of low 4-bit-plane compression ratio of Lena before and after algorithm processing
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Table 4. Comparison of low 4-bit-plane compression ratio of Lena before and after algorithm processing
Bit-plane BIT1 BIT2 BIT3 BIT4
Origin CR 124.09 123.99 123.46 114.91
Processed CR 25.00 19.26 55.37 74.23

Table 5. Comparison of evaluation indexes and compression ratio of different compression algorithms for color image compression

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Table 5. Comparison of evaluation indexes and compression ratio of different compression algorithms for color image compression

Image	PSNR（e_X=0°）/dB		PSNR（e_X=60°）/dB		FPSNR /dB		SSIM		CR/%
Image	Ref.［11］	Ours	Ref. ［11］	Ours	Ref. ［11］	Ours	Ref.［11］	Ours	Ref. ［11］	Ours
Bikes	76.06	56.35	47.84	53.72	43.56	43.57	0.95	0.99	70.16	46.18
Buildings	84.44	62.48	47.38	58.55	42.99	45.01	0.96	0.99	66.52	51.60
Caps	—	55.77	47.26	51.65	43.18	43.75	0.91	0.98	68.84	31.61
Carnivaldolls	70.01	65.42	47.05	54.39	40.50	47.34	0.87	0.99	62.44	37.08
Coinsinfountain	86.72	56.50	48.08	55.05	42.24	43.65	0.95	0.99	64.42	41.64
House	—	64.17	47.93	56.16	43.08	47.66	0.93	0.99	67.80	36.31
Lighthouse	77.00	63.30	48.67	56.63	44.41	43.78	0.94	0.99	70.78	38.90
Monarch	66.94	59.59	50.26	56.40	42.61	45.13	0.90	0.98	67.67	35.68
Ocean	—	56.45	46.73	54.91	42.49	43.81	0.91	0.98	68.86	35.44
Parrots	—	56.06	47.78	54.52	42.88	43.34	0.89	0.98	67.29	38.08
Plane	65.47	64.51	47.89	50.96	42.76	46.49	0.92	0.99	60.63	29.68
Rapids	86.47	56.57	46.84	53.99	43.01	43.92	0.91	0.99	69.58	36.05
Sailing4	74.96	56.56	48.37	56.28	43.33	43.57	0.92	0.99	69.14	37.15
Stream	—	56.45	47.93	54.70	43.48	43.89	0.97	0.99	68.23	48.47
Studentsculpture	86.20	62.55	47.77	56.52	42.13	47.04	0.97	0.99	63.80	49.73
Average	77.427	59.515	47.852	54.962	42.483	44.797	0.927	0.99	67.077	39.573

Table 6. Evaluation index and compression ratio comparison of bit-plane compression algorithms
View table
Table 6. Evaluation index and compression ratio comparison of bit-plane compression algorithms
Algorithm PSNR /dB SSIM CR /%
Ref.［20］ 37.66 0.97 72.22
Ours 55.63 0.99 39.57

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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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Paper Information

Category: holography and information processing

Received: Feb. 16, 2023

Accepted: Mar. 10, 2023

Published Online: Sep. 25, 2023

The Author Email: Ji Yuan (jiyuan@shu.edu.cn)

DOI:10.3788/CJL230535

Topics

laser devices and laser physics

Lasers and Laser Optics

Laser physics

laser manufacturing

Instrumentation, Measurement and Metrology

Table 1. Performance parameters of VR glasses based on OLED-on-silicon micro-display

Table 1. Performance parameters of VR glasses based on OLED-on-silicon micro-display

Table 2. Stimulus attributes for luminance masking and contrast masking experiments

Table 2. Stimulus attributes for luminance masking and contrast masking experiments

Table 3. Comparison of MOSs of JND models under same PSNR

Table 3. Comparison of MOSs of JND models under same PSNR

Table 4. Comparison of low 4-bit-plane compression ratio of Lena before and after algorithm processing

Table 4. Comparison of low 4-bit-plane compression ratio of Lena before and after algorithm processing

Table 5. Comparison of evaluation indexes and compression ratio of different compression algorithms for color image compression

Table 5. Comparison of evaluation indexes and compression ratio of different compression algorithms for color image compression

Table 6. Evaluation index and compression ratio comparison of bit-plane compression algorithms

Table 6. Evaluation index and compression ratio comparison of bit-plane compression algorithms