Journal ArticleDOI
Signal tracking approach for phase estimation in digital holographic interferometry
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TLDR
The study reveals that the proposed approach for phase estimation from noisy reconstructed interference fields in digital holographic interferometry using an unscented Kalman filter outperforms at lower SNR values (i.e., especially in the range 0-20 dB).Abstract:
In this research work, we introduce a novel approach for phase estimation from noisy reconstructed interference fields in digital holographic interferometry using an unscented Kalman filter. Unlike conventionally used unwrapping algorithms and piecewise polynomial approximation approaches, this paper proposes, for the first time to the best of our knowledge, a signal tracking approach for phase estimation. The state space model derived in this approach is inspired from the Taylor series expansion of the phase function as the process model, and polar to Cartesian conversion as the measurement model. We have characterized our approach by simulations and validated the performance on experimental data (holograms) recorded under various practical conditions. Our study reveals that the proposed approach, when compared with various phase estimation methods available in the literature, outperforms at lower SNR values (i.e., especially in the range 0-20 dB). It is demonstrated with experimental data as well that the proposed approach is a better choice for estimating rapidly varying phase with high dynamic range and noise. (C) 2014 Optical Society of Americaread more
Citations
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Journal ArticleDOI
PhaseNet 2.0: Phase Unwrapping of Noisy Data Based on Deep Learning Approach
TL;DR: The proposed novel deep learning framework for unwrapping the phase does not require post-processing, is highly robust to noise, accurately unwraps the phase even at the severe noise level of −5 dB, and can unwrap the phase maps even at relatively high dynamic ranges.
Journal ArticleDOI
Iterated unscented Kalman filter for phase unwrapping of interferometric fringes.
TL;DR: A fresh phase unwrapping algorithm based on iterated unscented Kalman filter with a robust phase gradient estimator based on amended matrix pencil model, and an efficient quality-guided strategy based on heap sort is proposed to estimate unambiguous unwrapped phase of interferometric fringes.
Journal ArticleDOI
Particle-filter-based phase estimation in digital holographic interferometry
Rahul G. Waghmare,P. Ram Sukumar,Gorthi R. K. Sai Subrahmanyam,Rakesh Kumar Singh,Deepak Mishra +4 more
TL;DR: The proposed particle-filter-based technique is the only method available for phase estimation from severely noisy fringe patterns even when the underlying phase pattern is rapidly varying and has a larger dynamic range.
Journal ArticleDOI
Simultaneous estimation of phase derivative and phase using parallel Kalman filter implementation
TL;DR: Numerical and experimental results substantiate the ability of the proposed technique for the simultaneous estimation of interference phase derivative and phase from a complex interferogram recorded in an optical interferometric setup in handling noisy phase fringe patterns.
Journal ArticleDOI
Efficient phase unwrapping algorithm based on cubature information particle filter applied to unwrap noisy continuous phase maps.
TL;DR: The accelerated version of the proposed algorithm is further developed through combing with reversible modulo wavelet operators to solve phase unwrapping problem of wrapped phase images in wavelet transform domain, which can reduce the amount of wrapped pixels that need to be unwrapped, and can further decrease time consumption of unwraps procedure performing on wrappedphase images.
References
More filters
Journal ArticleDOI
Unscented filtering and nonlinear estimation
Simon Julier,Jeffrey Uhlmann +1 more
TL;DR: The motivation, development, use, and implications of the UT are reviewed, which show it to be more accurate, easier to implement, and uses the same order of calculations as linearization.
Journal ArticleDOI
Digital recording and numerical reconstruction of holograms
Ulf Schnars,Werner Jüptner +1 more
TL;DR: The principles and major applications of digital recording and numerical reconstruction of holograms (digital holography) are described, which are applied to measure shape and surface deformation of opaque bodies and refractive index fields within transparent media.
Journal ArticleDOI
Fringe projection techniques: Whither we are?
Sai Siva Gorthi,Pramod Rastogi +1 more
TL;DR: This paper presents a meta-analyses of Fourier-Transform Profilometry and its applications in 3-D Shape Measurement and Surface Profile Measurement for Structured Light Pattern and 4-Core Optical-Fiber.
Journal ArticleDOI
Comparison of eight unwrapping algorithms applied to Fourier-transform profilometry
Emanuele Zappa,Giorgio Busca +1 more
TL;DR: In this paper, the authors defined the performances of eight different phase unwrapping algorithms applied to the Fourier transform profilometry (FTP) optical scan method and defined the best one.
Journal ArticleDOI
Adaptive filter to improve the performance of phase-unwrapping in digital holography
TL;DR: An algorithm is developed using a combination of sine/cosine average filtering with masking filtering techniques, taking as a weighting function the number of discontinuities by pixels which allows to preserve and intensify the borders of phase fringes of the object.