[P-ITu-22] Deep learning-based pixel interpolation in spatial-domain phase shifting digital holography
[Presentation Style] Onsite
We propose to apply deep learning to interpolate missing pixels in interferograms acquired by the spatial-domain phase-shifting interferometry (PSI), and numerically evaluate the quality of object light reconstructed from them.