• DocumentCode
    3405986
  • Title

    Sign ambiguity resolution for phase demodulation in interferometry with application to prelens tear film analysis

  • Author

    Wu, Dijia ; Boyer, Kim L.

  • Author_Institution
    Rensselaer Polytech. Inst., Troy, NY, USA
  • fYear
    2010
  • fDate
    13-18 June 2010
  • Firstpage
    2807
  • Lastpage
    2814
  • Abstract
    We present a novel method to solve sign ambiguity for phase demodulation from a single interferometric image that possibly contains closed fringes. The problem is formulated in a binary pairwise energy minimization framework based on phase gradient orientation continuity. The objective function is non-submodular and therefore its minimization is an NP-hard problem, for which we devise a multigrid hierarchy of quadratic pseudoboolean optimization problems that can be improved iteratively to approximate the optimal solutions. Compared with traditional path-following phase demodulation methods, the new approach does not require any heuristic scanning strategy, it is not subject to the propagation of error, and the extension to three dimensional fringe patterns is straightforward. A set of experiments with synthetic data and real prelens tear film interferometric images of the human eye demonstrate the effectiveness and robustness of the proposed algorithm in comparison with existing state-of-the-art phase demodulation methods.
  • Keywords
    computational complexity; demodulation; image processing; interferometry; minimisation; NP-hard problem; binary pairwise energy minimization framework; closed fringes; error propagation; heuristic scanning strategy; human eye; interferometry; multigrid hierarchy; path-following phase demodulation methods; phase gradient orientation continuity; prelens tear film analysis; quadratic pseudoboolean optimization problems; sign ambiguity resolution; single interferometric image; tear film interferometric images; three dimensional fringe patterns; Demodulation; Helium; Histograms; Image coding; Image retrieval; Image storage; Interferometry; Large-scale systems; Quantization; Vocabulary;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision and Pattern Recognition (CVPR), 2010 IEEE Conference on
  • Conference_Location
    San Francisco, CA
  • ISSN
    1063-6919
  • Print_ISBN
    978-1-4244-6984-0
  • Type

    conf

  • DOI
    10.1109/CVPR.2010.5540011
  • Filename
    5540011