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Proceedings Paper

Computer-generated holograms optimized by a global iterative coding
Author(s): Alain Bergeron; Henri H. Arsenault; Jonny Gauvin; Denis J. Gingras
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Paper Abstract

A global iterative coding method for computer-generated holograms (CGH) is introduced. The method is based on the iterative correction of a CGH with the use of standard Lee coding. The correction, i.e. the difference between the desired and the obtained reconstruction, is coded and added to the current CGH. The learning factor and the weighting factor are introduced in order to control the speed of convergence and the signal-to-noise ratio (SNR). Advantages lie in low computing time as well as improvement of the object SNR, the neighborhood SNR and the background SNR. Reducing the standard deviation of the phase of the reconstructed object also results. A slight improvement of the diffraction efficiency is also observed. The comparison is realized using the Lee interferogram method as a reference.

Paper Details

Date Published: 9 November 1993
PDF: 12 pages
Proc. SPIE 2026, Photonics for Processors, Neural Networks, and Memories, (9 November 1993); doi: 10.1117/12.163577
Show Author Affiliations
Alain Bergeron, National Optics Institute and COPL/Univ. Laval (Canada)
Henri H. Arsenault, COPL/Univ. Laval (Canada)
Jonny Gauvin, National Optics Institute (Canada)
Denis J. Gingras, National Optics Institute (Canada)


Published in SPIE Proceedings Vol. 2026:
Photonics for Processors, Neural Networks, and Memories
Stephen T. Kowel; William J. Miceli; Joseph L. Horner; Bahram Javidi; Stephen T. Kowel; William J. Miceli, Editor(s)

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