Iterative interlacing approach for synthesis of computer-generated holograms
- 10 November 1992
- journal article
- Published by Optica Publishing Group in Applied Optics
- Vol. 31 (32) , 6894-6901
- https://doi.org/10.1364/ao.31.006894
Abstract
An approach for optimizing computer-generated holograms is discussed. The approach can be summarized most generally as hierarchically designing a number of holograms to add up coherently to a single desired reconstruction. In the case of binary holograms, this approach results in the interlacing technique (IT) and the iterative interlacing technique (IIT). In the IT, a number of subholograms are designed and interlaced together to generate the total binary hologram. The first subhologram is designed to reconstruct the desired image. The succeeding subholograms are designed to correct the remaining error image. In the IIT, the remaining error image after the last subhologram is circulated back to the first subhologram, and the process is continued a number of sweeps until convergence. Both techniques can be used together with most computer-generated-hologram synthesis algorithms and result in a substantial reduction in reconstruction error as well as an increased speed of convergence in the case of iterative algorithms.Keywords
This publication has 11 references indexed in Scilit:
- Kinoform using an electrically controlled birefringent liquid-crystal spatial light modulatorApplied Optics, 1991
- Optimal adaptive multistage image transform codingIEEE Transactions on Circuits and Systems for Video Technology, 1991
- Array generation with multilevel phase gratingsJournal of the Optical Society of America A, 1990
- Nonlinear matched filtering IIOptical Engineering, 1990
- Digital phase holograms: Coding and quantization with an error diffusion conceptOptics Communications, 1989
- Synthesis of digital holograms by direct binary searchApplied Optics, 1987
- Optimization by Simulated AnnealingScience, 1983
- Convergence of a Spectrum Shaping AlgorithmApplied Optics, 1974
- Method for Computing Kinoforms that Reduces Image Reconstruction ErrorApplied Optics, 1973
- Complex Spatial Filtering with Binary MasksApplied Optics, 1966