Optimization algorithm of near-eye light field displays based on human visual characteristics

Jun Ding; Mali Liu; Qing Zhong; Haifeng Li; Xu Liu

doi:doi:10.3788/COL201614.041101

Chinese Optics Letters, 2016, 14 (4): 041101, Published Online: Aug. 6, 2018

Optimization algorithm of near-eye light field displays based on human visual characteristics Download： 882次

Jun Ding Mali Liu Qing Zhong Haifeng Li ^*Xu Liu

Author Affiliations

State Key Lab. of Modern Optical Instrumentation, Department of Optical Engineering, Zhejiang University, Hangzhou 310027, China

Figures & Tables

Fig. 6. Reconstructed results by different algorithms: (a) original light field, (b) Wetzstein’s optimization, and (c) weight optimization.

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Fig. 7. PSNR based on Wetzstein’s and the weight optimization.

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Fig. 8. Intensity comparison with line patterns. (a) and (d) denote the target light field in different perspective views, (b) and (e) are the construction results by Wetzstein’s optimization, (c) and (f) are the construction results by weight optimization, and (g) and (h) are the pixel intensity at the corresponding 1D slices.

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Table1. Pupil Resolution in Different FOVs

$θ$	$R$	$θ$	$R$
Fovea	1.1026	30°	2.5371
5°	1.2607	40°	3.6703
10°	1.4158	50°	6.2728
20°	1.8587	60°	18.2725

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Jun Ding, Mali Liu, Qing Zhong, Haifeng Li, Xu Liu. Optimization algorithm of near-eye light field displays based on human visual characteristics[J]. Chinese Optics Letters, 2016, 14(4): 041101.

Optimization algorithm of near-eye light field displays based on human visual characteristics Download： 882次

Fig. 1. Configuration of the near-eye light field displays.

Fig. 2. Algorithm pipeline of the near-eye light field displays.

Fig. 3. Visualization of transform matrix T.

Fig. 4. MTF profiles in different retinal eccentricities.

Fig. 5. Weight distribution in different FOVs.

Fig. 6. Reconstructed results by different algorithms: (a) original light field, (b) Wetzstein’s optimization, and (c) weight optimization.

Fig. 7. PSNR based on Wetzstein’s and the weight optimization.

Table1. Pupil Resolution in Different FOVs

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Optimization algorithm of near-eye light field displays based on human visual characteristics Download： 882次

Fig. 1. Configuration of the near-eye light field displays.

Fig. 2. Algorithm pipeline of the near-eye light field displays.

Fig. 3. Visualization of transform matrix T.

Fig. 4. MTF profiles in different retinal eccentricities.

Fig. 5. Weight distribution in different FOVs.

Fig. 6. Reconstructed results by different algorithms: (a) original light field, (b) Wetzstein’s optimization, and (c) weight optimization.

Fig. 7. PSNR based on Wetzstein’s and the weight optimization.

Table1. Pupil Resolution in Different FOVs

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