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      • Department of Electrical and Electronics Engineering
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      Quality comparison and acceleration for digital hologram generation method based on segmentation

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      Author
      Kang, Hoonjong
      Yaraş, Fahri
      Onural, Levent
      Date
      2009
      Source Title
      Proceedings of the 3DTV Conference: The True Vision - Capture, Transmission and Display of 3D Video, IEEE 2009
      Print ISSN
      2161-2021
      Publisher
      IEEE
      Language
      English
      Type
      Conference Paper
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      Abstract
      A holographic fringe pattern generation methods is based on Fraunhofer diffraction and subsequent segmentation and approximation of the fringe pattern. Several modifications of the original algorithm are already proposed to improve the quality of reconstructions. We compare the quality of to the reconstructed images from different versions of this algorithm by taking the reconstructions from the Fresnel hologram as a reference. Since, there is not any generally accepted objective quality assessment method for such reconstructions, we used some experimental methods such as intensity spread over the reconstructed images, total noise power, and peak-signal-to-noise for comparison. Then we chose the best performing algorithm in terms of ireconstruction quality, and developed a GPU-based implementation to accelerate the computation speed. The quality of the resultant reconstructions is comparable to reconstructions from Fresnel holograms; much higher speed is achieved due to multi-GPU implemetation.
      Keywords
      Digital hologram reconstruction
      Digital holography
      Fresnel hologram
      Graphic processing unit
      Objective quality assessment
      Real-time holography
      Computer generated holography
      Computer graphics equipment
      Electron holography
      Holographic interferometry
      Image reconstruction
      Permalink
      http://hdl.handle.net/11693/28736
      Published Version (Please cite this version)
      http://dx.doi.org/10.1109/3DTV.2009.5069661
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      • Department of Electrical and Electronics Engineering 3601
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