Abstract

We present a joint optimization framework for four-dimensional (4D) optical imaging: volumes and movements are reconstructed jointly in a higher space-time dimen- sion, 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. Experi- mental results are presented to show the efficiency of the proposed technique.

© 2021 The Author(s)