Computer-generated holograms optimized by a global iterative coding

Alain Bergeron; Henri H. Arsenault; Jonny Gauvin; Denis J. Gingras

doi:10.1117/12.163577

9 November 1993 Computer-generated holograms optimized by a global iterative coding

Alain Bergeron, Henri H. Arsenault, Jonny Gauvin, Denis J. Gingras

Proceedings Volume 2026, Photonics for Processors, Neural Networks, and Memories; (1993) https://doi.org/10.1117/12.163577
Event: SPIE's 1993 International Symposium on Optics, Imaging, and Instrumentation, 1993, San Diego, CA, United States

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.

Citation Download Citation

Alain Bergeron, Henri H. Arsenault, Jonny Gauvin, and Denis J. Gingras "Computer-generated holograms optimized by a global iterative coding", Proc. SPIE 2026, Photonics for Processors, Neural Networks, and Memories, (9 November 1993); https://doi.org/10.1117/12.163577

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