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.
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.
|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
|Depositing User:||Dr. Thomas Naughton|
|Date Deposited:||18 Mar 2003|
|Journal or Publication Title:||Applied Optics|
|Publisher:||Optical Society of America|
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