Compression of digital holograms for three-dimensional object recognition

نویسندگان

  • Thomas J. Naughton
  • Yann Frauel
  • Bahram Javidi
  • Enrique Tajahuerce
چکیده

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 rst 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 signi cant loss in correlation performance.

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تاریخ انتشار 2001