• DocumentCode
    1623598
  • Title

    UKF based multi-component phase estimation in digital holographic Moiré

  • Author

    Waghmare, Rahul G. ; Mishra, Debahuti ; Sai Subrahmanyam, G.R.K.

  • Author_Institution
    Dept. of Avionics, IIST, Thiruvananthapuram, India
  • fYear
    2013
  • Firstpage
    1
  • Lastpage
    4
  • Abstract
    Simultaneous measurement of multi-dimensional deformations can be done in digital holographic Moiré by illuminating the object with multiple beams from different angles and recording the interference pattern due to multiple beams. This technique involves reliable estimation of resultant multiple phase maps from a one record of the reconstructed interference moiré field. In this paper, we introduce a novel method, based on Unscented Kalman Filter (UKF), for the estimation of multiple phase maps from a complex multi-component signal encountered in digital holographic moiré. The State space model used in this method is determined by Taylor series expansion of phase component as process model and polar to Cartesian conversion as measurement model.
  • Keywords
    Kalman filters; holography; image reconstruction; nonlinear filters; phase estimation; Cartesian conversion; Taylor series expansion; UKF based multicomponent phase estimation; complex multicomponent signal; digital holographic Moire; measurement model; multidimensional deformation measurement; unscented Kalman filter; Equations; Estimation; Interference; Mathematical model; Noise; Phase estimation; Vectors;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Computer Vision, Pattern Recognition, Image Processing and Graphics (NCVPRIPG), 2013 Fourth National Conference on
  • Conference_Location
    Jodhpur
  • Print_ISBN
    978-1-4799-1586-6
  • Type

    conf

  • DOI
    10.1109/NCVPRIPG.2013.6776212
  • Filename
    6776212