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    Chapter and Conference Paper

    DRLFNet: A Dense-Connection Residual Learning Neural Network for Light Field Super Resolution

    Light field records both spatial and angular information of light rays. By using light field cameras, 3D scenes can be reconstructed easily for further virtual reality applications. Limited by the sensor size,...

    Congrui Fu, **n Ma, Yao Liu, Junhui Hou, Hui Yuan in Image and Graphics (2021)

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    Chapter and Conference Paper

    Deep Spatial-Angular Regularization for Compressive Light Field Reconstruction over Coded Apertures

    Coded aperture is a promising approach for capturing the 4-D light field (LF), in which the 4-D data are compressively modulated into 2-D coded measurements that are further decoded by reconstruction algorithm...

    Mantang Guo, Junhui Hou, **g **, Jie Chen, Lap-Pui Chau in Computer Vision – ECCV 2020 (2020)