Copyright 1996 Society of Photo-Optical Instrumentation Engineers. This paper was (will be) published in Optical Engineering and is made available as an electronic reprint [preprint] with permission of SPIE. Single print or electronic copies for personal use only are allowed. Systematic or multiple reproduction, distribution to multiple locations through an electronic listserver or other electronic means, duplication of any material in this paper for a fee or for commericial purposes, or modification of the content of the pater are all prohibited. By choosing to view or print this document, you agree to all the provisions of the copyright law protecting it.
A novel electro-holographic bandwidth compression technique, fringelet bandwidth compression, is described and implemented. This technique uses spatial subsampling to reduce bandwidth and complexity of holographic fringe computation for real-time three-dimensional holographic displays. Fringelet bandwidth compression is a type of diffraction-specific fringe computation, an approach that considers only the reconstruction process in holographic imaging. The fringe pattern is treated as a spectrum that is sampled in space (as holographic elements or hogels) and in spatial frequency (as hogel vectors). Fringelet bandwidth compression achieves a compression ratio of 16:1 without conspicuously degrading image quality. Further increase in compression ratio and speed is possible with additional image degradation. Fringelet decoding is extremely simple, involving the replication of fringelet sample values. This simplicity enables an overall increase in fringe computation speed of over 3000 times compared to conventional interference-based methods. The speed of fringelet bandwidth compression has enabled the generation of images at nearly interactive rates: under 4.0 seconds per hand-sized (one-liter) 3D image generated from a 36-MB fringe.
By: Mark Lucente
Published in: Optical Engineering, volume 35. no. 6, (no 35. no. 6), pages 1529-37 in 1996
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