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

By Mantang Guo and others
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 algorithms. The bottleneck lies in the reconstruction algorithms, resulting in rather limited reconstruction quality. To tackle this challenge, we... Show more
July 23, 2020
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Deep Spatial-angular Regularization for Compressive Light Field Reconstruction over Coded Apertures
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