Global iterative three-dimensional holographic imaging with hybrid constraints based on angular spectrum layering

A three-dimensional holographic image computation method based on angular spectrum layering is proposed that further optimizes the selection of hybrid constraint factors and rationalizes the allocation of spatial resources for multi-layer plane image reconstruction. By employing separately independent angular spectrum propagation processes, potential aliasing reconstruction errors during the image propagation process are circumvented. Through numerical simulations and optical experiments, our method was compared with the hybrid constraint iterative angular spectrum sequence algorithm in the reconstruction involving eight plane images, validating the effectiveness and feasibility of our approach.