Weighted Constraint Iterative Algorithm for Phase Hologram Generation

A weighted constraint iterative algorithm is presented to calculate phase holograms with quality reconstruction. The image plane is partitioned into two regions where different constraint strategies are implemented during the iteration process. In the image plane, the signal region is constrained di...

Full description

Saved in:
Bibliographic Details
Published inApplied sciences Vol. 10; no. 10; p. 3652
Main Authors Chen, Lizhi, Zhang, Hao, He, Zehao, Wang, Xiaoyu, Cao, Liangcai, Jin, Guofan
Format Journal Article
LanguageEnglish
Published Basel MDPI AG 01.05.2020
Subjects
Online AccessGet full text

Cover

Loading…
More Information
Summary:A weighted constraint iterative algorithm is presented to calculate phase holograms with quality reconstruction. The image plane is partitioned into two regions where different constraint strategies are implemented during the iteration process. In the image plane, the signal region is constrained directly according to the amplitude distribution of the target image based on an adaptive strategy, whereas the non-signal region is constrained indirectly by total energy control of the hologram plane based on the energy conservation principle. The weighted constraint strategy can improve the reconstruction quality of the phase holograms by broadening the optimizing space of the iterative algorithm, leading to effective convergence of the iteration process. Finally, numerical and optical experiments have been performed to validate the feasibility of our method.
ISSN:2076-3417
2076-3417
DOI:10.3390/app10103652