论文信息 - A Deep Learning Approach for Reconstruction in Temporal Compressed Imaging

A Deep Learning Approach for Reconstruction in Temporal Compressed Imaging

We discuss a deep network for temporal compressed imaging. The data collected by an experimental platform are used for training and testing. Spatial variant point spread functions are calibrated for reconstruction.

Edmund Y Lam | Jun Ke | Linxia Zhang

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