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Proceedings Paper

Modulating function-based holographic data compression
Author(s): Hoon-Gee Yang; Seung-Hyun Lee
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Paper Abstract

This paper presents a compression algorithm applicable for transmitting a HPO hologram data. The proposed algorithm exploits a modulating function to compress the bandwidth of an object wave, resulting in data reduction due to relaxed Nyquist sampling constraints. At the receiver, the compressed data will be interpolated and compensated via being divided by the modulating function. We derive the algorithm and present compression rate. Finally, we show the validity of the proposed algorithm by simulation where a reconstructed image from undersampled data is compared with a reconstructed image obtained from proposed algorithm.

Paper Details

Date Published: 4 June 2001
PDF: 9 pages
Proc. SPIE 4296, Practical Holography XV and Holographic Materials VII, (4 June 2001); doi: 10.1117/12.429447
Show Author Affiliations
Hoon-Gee Yang, Kwangwoon Univ. (South Korea)
Seung-Hyun Lee, Kwangwoon Univ. (South Korea)


Published in SPIE Proceedings Vol. 4296:
Practical Holography XV and Holographic Materials VII
Stephen A. Benton; Sylvia H. Stevenson; T. John Trout; Sylvia H. Stevenson; T. John Trout, Editor(s)

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