Chinese Journal of Liquid Crystals and Displays, Volume. 37, Issue 5, 549(2022)
3D light field display with improved visual resolution based on pre-processing convolutional neural network
Fig. 1. New visual pixels generated by aliasing areas between adjacent pixels
Fig. 2. Process of pixel blurring after passing through a lens which can be regarded as convolution with a Gaussian kernel
Fig. 3. Process of using CNN to realize visual resolution enhanced 3D display
Fig. 5. （a）Structural parameters of the compound lens；（b）Spot diagrams of the compound lens in three viewing angles（RMS radius：0° viewing angle：4 035.04 μm，19.7° viewing angle：3 843.27 μm，34.6° viewing angle：4 198.41 μm）.
Fig. 6. Simulation results of standard resolution chart.（a）Without the proposed visual resolution-enhanced method；（b）With the visual resolution-enhanced method.
Fig. 7. （a）Original image with high resolution；（b）Simulation image without visual resolution-enhanced method；（c）Simulation image with the visual resolution-enhanced method.
Fig. 8. 3D light field display for a street scene without the proposed visual resolution-enhanced method（a）and with the visual resolution-enhanced method（b）
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Xun-bo YU, Han-yu LI, Xin GAO, Xin-zhu SANG, Bin-bin YAN, Xi-wen SU, Xu-dong WEN, Bin XU, Yue-di WANG. 3D light field display with improved visual resolution based on pre-processing convolutional neural network[J]. Chinese Journal of Liquid Crystals and Displays, 2022, 37(5): 549
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Received: Jan. 30, 2022
Accepted: --
Published Online: Jul. 22, 2022
The Author Email: Xin GAO (gxbupt@126.com)
