Snapshot Compressive Imaging: Theory, Algorithms, and Applications
Snapshot Compressive Imaging: Theory, Algorithms, and Applications
Capturing high-dimensional (HD) data is a long-term challenge in signal processing and related fields.Snapshot compressive imaging (SCI) uses a two-dimensional (2D) detector to capture HD (≥ 3D) data in a snapshot measurement.Via novel optical designs, the 2D detector samples the HD data in a compressive manner; following this, algorithms are …