Compression of digital holograms for three-dimensional object recognition

Thomas J. Naughton; Yann Frauel; Bahram Javidi; Enrique Tajahuerce

doi:10.1117/12.449353

13 November 2001 Compression of digital holograms for three-dimensional object recognition

Thomas J. Naughton, Yann Frauel, Bahram Javidi, Enrique Tajahuerce

Proceedings Volume 4471, Algorithms and Systems for Optical Information Processing V; (2001) https://doi.org/10.1117/12.449353
Event: International Symposium on Optical Science and Technology, 2001, San Diego, CA, United States

Abstract

In this paper we present the results of applying data compression to a three-dimensional object recognition technique based on phase-shift digital holography. Industry-standard lossless data compression algorithms were first applied. Next, lossy techniques based on subsampling, discrete cosine transformation, and discrete Fourier transformation were examined. We used normalized cross-correlation in the object plane as our performance metric. For each hologram tested, we found that as many as 90% of the cosine and Fourier components could be removed, without significant loss in correlation performance.

Citation Download Citation

Thomas J. Naughton, Yann Frauel, Bahram Javidi, and Enrique Tajahuerce "Compression of digital holograms for three-dimensional object recognition", Proc. SPIE 4471, Algorithms and Systems for Optical Information Processing V, (13 November 2001); https://doi.org/10.1117/12.449353

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