Light Field Spatial Super-resolution via Multi-level Perception and View Reorganization

Light field (LF) imaging can obtain spatial and angular information of three-dimensional (3D) scene through a single shot, which enables a wide range of applications in the fields of 3D reconstruction, refocusing, virtual reality, etc. However, due to the inherent trade-off problem, the spatial resolution of acquired LF images is low, which hinders the widespread application of LF imaging technique. In order to relieve this issue, an end-to-end LF spatial super-resolution network is proposed by considering the multi-level perception and view reorganization. This method can fully explore the highly interwoven LF spatial and angular structure information. Specifically, a multi-feature fusion enhancement block is introduced that can fully perceive LF spatial, angular, and EPI information for LF spatial super-resolution. Furthermore, the angular coherence between LF views is exploited by reorganizing the LF sub-aperture images and constructing a multi-angular stack structure. Compared with other state-of-the-art methods, the proposed method achieves superior performance in both visual and quantitative terms.

@article{Mao2023,
  title     = {Light Field Spatial Super-resolution via Multi-level Perception and View Reorganization},
  journal   = {International Journal of Advanced Computer Science and Applications},
  volume    = {14},
  number    = {5},
  year      = {2023},
  publisher = {The Science and Information Organization},
  author    = {Yifan Mao and Zaidong Tong and Xin Zheng and Xiaofei Zhou and Youzhi Zhang and Deyang Liu},
  doi       = {10.14569/IJACSA.2023.01405111},
  url       = {https://doi.org/10.14569/IJACSA.2023.01405111}
}