Naughton, Thomas J. and Frauel, Yann and Javidi, Bahram and Tajahuerce, Enrique (2002) Compression of digital holograms for three-dimensional object reconstruction and recognition. Applied Optics, 41 (20). pp. 4124-4132.

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Abstract

We present the results of applying lossless and lossy data compression to a three-dimensional object reconstruction and recognition technique based on phase-shift digital holography. We find that the best lossless (Lempel-Ziv, Lempel-Ziv-Welch, Huffman, Burrows-Wheeler) compression rates can be expected when the digital hologram is stored in an intermediate coding of separate data streams for real and imaginary components. The lossy techniques are based on subsampling, quantization, and discrete Fourier transformation. For various degrees of speckle reduction, we quantify the number of Fourier coefficients that can be removed from the hologram domain, and the lowest level of quantization achievable, without incurring significant loss in correlation performance or significant error in the reconstructed object domain.

Item Type:	Article
Keywords:	Three-dimensional image processing, Computer holography, Image compression, Image processing, Pattern recognition and feature extraction, Noise in imaging systems
Academic Unit:	Faculty of Science and Engineering > Experimental Physics Faculty of Science and Engineering > Computer Science
Item ID:	88
Depositing User:	Thomas Naughton
Date Deposited:	18 Mar 2003
Journal or Publication Title:	Applied Optics
Publisher:	Optical Society of America
Refereed:	Yes
URI:
Use Licence:	This item is available under a Creative Commons Attribution Non Commercial Share Alike Licence (CC BY-NC-SA). Details of this licence are available here

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