Unsupervised Learning of High-resolution Light Field Imaging via Beam Splitter-based Hybrid Lenses

arXiv:2402.19020v1 Announce Type: cross
Abstract: In this paper, we design a beam splitter-based hybrid light field imaging prototype to record 4D light field image and high-resolution 2D image simultaneously, and make a hybrid light field dataset. The 2D image could be considered as the high-resolution ground truth corresponding to the low-resolution central sub-aperture image of 4D light field image. Subsequently, we propose an unsupervised learning-based super-resolution framework with the hybrid light field dataset, which adaptively settles the light field spatial …

2d image abstract arxiv cs.cv dataset design eess.iv hybrid image imaging light paper truth type unsupervised unsupervised learning via