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