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
Link To Document :
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