We present a joint optimization framework for four-dimensional (4D) optical imaging: volumes and movements are reconstructed jointly in a higher space-time dimension, enabling faster convergence and better reconstruction quality of both the volumes and movements within a few minutes on modern GPUs. We verified the framework on digital holographic particle tracking velocimetry, a typical 4D optical imaging example. Experimental results are presented to show the efficiency of the proposed technique.
|Original language||English (US)|
|Title of host publication||OSA Imaging and Applied Optics Congress 2021 (3D, COSI, DH, ISA, pcAOP)|
|Publisher||The Optical Society|
|State||Published - Jan 1 2021|
Bibliographical noteKAUST Repository Item: Exported on 2021-12-14
Acknowledgements: This work was supported by the KAUST individual baseline funding.