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Light Field Compression And Manipulation Via Residual Convolutional Neural Network, Eisa Hedayati
Light Field Compression And Manipulation Via Residual Convolutional Neural Network, Eisa Hedayati
Dissertations, Master's Theses and Master's Reports
Light field (LF) imaging has gained significant attention due to its recent success in microscopy, 3-dimensional (3D) displaying and rendering, augmented and virtual reality usage. Postprocessing of LF enables us to extract more information from a scene compared to traditional cameras. However, the use of LF is still a research novelty because of the current limitations in capturing high-resolution LF in all of its four dimensions. While researchers are actively improving methods of capturing high-resolution LF's, using simulation, it is possible to explore a high-quality captured LF's properties. The immediate concerns following the LF capture are its storage and processing …