Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Super-resolution Fourier transform method in phase shifting interferometry

Open Access Open Access

Abstract

The paper proposes a super-resolution Fourier transform method for phase estimation in phase shifting interferometry. Incorporation of a super-resolution technique before the application of Fourier transform significantly enhances the resolution capability of the proposed method. The other salient features of the method lie in its ability to handle multiple harmonics, PZT miscalibration, and arbitrary phase steps in the optical configuration. The method does not need addition of any carrier fringes to separate the spectral contents in the intensity fringes. The proposed concept thus overcomes the limitations of other methods based on Fourier transform techniques. The robustness of the proposed method is studied in the presence of noise.

©2005 Optical Society of America

Full Article  |  PDF Article
More Like This
An integral approach to phase shifting interferometry using a super-resolution frequency estimation method

Abhijit Patil, Rajesh Langoju, and Pramod Rastogi
Opt. Express 12(20) 4681-4697 (2004)

Resolution-enhanced Fourier transform method for the estimation of multiple phases in interferometry

Rajesh Langoju, Abhijit Patil, and Pramod Rastogi
Opt. Lett. 30(24) 3326-3328 (2005)

Phase-shifting interferometry by a covariance-based method

Abhijit Patil, Pramod Rastogi, and Benny Raphael
Appl. Opt. 44(27) 5778-5785 (2005)

Cited By

Optica participates in Crossref's Cited-By Linking service. Citing articles from Optica Publishing Group journals and other participating publishers are listed here.

Alert me when this article is cited.


Figures (6)

Fig. 1.
Fig. 1. Plots of power spectrum obtained for κ = 1 using a) Fourier transform b) Zero padded Fourier transform and c) super-resolution Fourier transform for determining the phase step values α.
Fig. 2.
Fig. 2. Plots of power spectrum obtained for κ = 2 using a) Fourier transform b) Zero padded Fourier transform and c) super-resolution Fourier transform for determining the phase step values α.
Fig. 3.
Fig. 3. Plots of phase step α (in degrees) versus SNR obtained using Eq. (15) at an arbitrary pixel location on a data frame for (a) - (d) κ = 1; N = 6,8,10, and 12, respectively, and (e) - (h) κ= 2; N = 10,12,14, and 16, respectively.
Fig. 4.
Fig. 4. Plots of power spectrum for N = 12 data frames and κ= 1 for various orders of nonlinearity in the PZT response to the applied voltage.
Fig. 5
Fig. 5 (a) Fringe pattern and (b) retrieved phase φ.
Fig. 6.
Fig. 6. Typical phase error in computation of phase distributions φ (in radians), for the phase steps obtained from Fig 3(d) for SNR=30dB.

Tables (1)

Tables Icon

Table 1. Phase step estimation for various values of NOF and N = 8 and 12. During simulation the phase step α is taken as 33°, κ=1, and SNR = 40 dB.

Equations (35)

Equations on this page are rendered with MathJax. Learn more.

I ( t ) = I dc + k = 1 κ a k exp ( jkφ ) k u k t + k = 1 κ a k exp ( jkφ ) k * ( u k * ) t
+ η ( t ) ; for t = 0,1 , , N 1
r ( p ) = E [ I ( t ) I * ( t p ) ] = k = 0 2 κ A k 2 exp ( j ω k p ) + σ 2 δ p , 0 .
R I = E [ I ( t ) I * ( t ) ] = [ r ( 0 ) r * ( 1 ) . r * ( m 1 ) r ( 1 ) r ( 0 ) . r * ( m 2 ) . . . . r ( m 1 ) . . r ( 0 ) ]
R I = SPS H R s + σ 2 I d R ε
P = [ A 0 2 0 . 0 0 A 1 2 . . . . . . 0 . . A 2 κ 2 ]
R I = [ υ ν ] [ λ 0 0 0 λ m 1 ] [ υ ν ] H
R I υ = SPS H υ + σ 2 υ
= υ [ λ 0 . . . 0 . λ 1 . . . . . . . . . . . . . 0 . . . λ 2 κ ]
= υγ + σ 2 υ
γ = [ λ 0 σ 2 . . . 0 . λ 1 σ 2 . . . . . . . . . . . . . 0 . . . λ 2 κ σ 2 ]
υ = S ( PS H υ γ 1 ) SC
S H ν = [ s 0 H . . s 2 κ H ] ν = 0
= s k H ν i = 0 i = ( 0,1,2 , …. , m 2 κ 2 ) and k = ( 0,1,2 , …. , 2 κ )
s k , ν i = n = 0 m 1 s k H ( n ) ν i ( n )
s k , ν i = 0 i = ( 0,1,2 , , m 2 κ 2 ) , k = ( 0,1 , ….. , 2 κ )
s k , ν i = n = 0 m 1 exp ( jn ω k ) ν i ( n )
= s , ν i | ω = ω k
= 0
P i [ exp ( j ω f ) ] = 1 s f , ν i 2 ; ω f = 0,2 π / NOF , ……….. , 2 π ( NOF 1 ) / NOF
P [ exp ( j ω f ) ] = 1 i = 0 m 2 κ 2 1 λ 2 κ + 1 + i s f , ν i 2 ; ω f = 0,2 π / NOF , ……….. , 2 π ( NOF 1 ) / NOF
I ̂ ( k ) = t = 0 N 1 I ( t ) exp ( j 2 πkt N ) ; k = 0,1,2 , …. , N 1
I ̂ ZP ( k ) = t = 0 ZP 1 I ( t ) exp ( j 2 πkt N ) ; k = 0,1,2 , . . N 1 , , ZP 1
[ 1 1 . . 1 exp ( jκα ) exp ( jκα ) . . 1 exp ( 2 jκα ) exp ( 2 jκα ) . . 1 . . . . . . . . . . exp [ ( N 1 ) jκα ] . . . 1 ] [ κ κ * κ 1 . . I dc ] = [ I 0 I 1 . . . I N 1 ]
I ( t ) = I dc + k = 1 κ a k exp ( jkφ ) exp ( jαkt ) + k = 1 κ a k exp ( jkφ ) exp ( jαkt ) + η ( t ) ;
for t = 0,1,2 , , m , N 1
r ( p ) = E [ I ( t ) I * ( t p ) ]
I ( t ) = I dc + a 1 exp ( ) exp ( jαt ) + a 1 exp ( ) exp ( jαt ) + η ( t )
I * ( t p ) = I dc + a 1 exp ( ) exp [ ( t p ) ] + a 1 exp ( ) exp [ ( t p ) ] + η * ( t p )
r ( p ) = E [ I ( t ) I * ( t p ) ] = E { I dc 2 + I dc a 1 exp ( ) exp ( jαt ) + I dc a 1 exp ( ) exp ( jαt ) + exp ( jαp ) [ a 1 2 + I dc a 1 exp ( ) exp ( jαt ) + a 1 2 exp ( 2 ) exp ( 2 jαt ) ] + exp ( jαp ) [ a 1 2 + I dc a 1 exp ( ) exp ( jαt ) + a 1 2 exp ( 2 ) exp ( 2 jαt ) ] + η ( t ) η * ( t p ) }
r ( p ) = E [ I dc 2 + c 1 + exp ( jαp ) ( a 1 2 + c 2 ) + exp ( jαp ) ( a 1 2 + c 3 ) + η ( t ) η * ( t p ) ]
r ( p ) = A 0 2 + A 1 2 exp ( jαp ) + A 2 2 exp ( jαp ) + σ 2 δ p , 0
E [ η ( g ) η * ( h ) ] = σ 2 δ g , h
0 2 π exp ( ) = 0
r ( p ) = E [ I ( t ) I * ( t p ) ] = n = 0 2 κ A n 2 exp ( j ω n p ) + σ 2 δ p , 0
Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.