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Application and Optimisation of the Spatial Phase Shifting ...

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88 Electronic or Digital Speckle Pattern Interferometry<br />

3.4.5 Spectral side-effects <strong>of</strong> spatial phase calculation<br />

As mentioned above, <strong>the</strong> findings <strong>of</strong> 3.2.2 require some experimental inspection because <strong>the</strong>y were<br />

derived, so to speak, in <strong>the</strong> absence <strong>of</strong> speckle. In particular, <strong>the</strong> spatial phase calculation in SPS is<br />

influenced by <strong>the</strong> spatial correlation <strong>of</strong> <strong>the</strong> pixels selected for processing, as demonstrated in Fig. 3.30 for<br />

intensity sampling by (3.18) <strong>and</strong> (3.19), respectively.<br />

S'(x k ) S'(x k )<br />

I 0 I 1 I 2<br />

I 0 I 1 I 2<br />

C'(x k ) C'(x k )<br />

Fig. 3.30: Processing <strong>of</strong> intensity samples by (3.18) (left) <strong>and</strong> (3.19) (right), where <strong>the</strong> smaller outlines in white<br />

<strong>and</strong> black indicate <strong>the</strong> smaller coherence areas required for S'(x k ) <strong>and</strong> C'(x k ) alone.<br />

In (3.18), <strong>the</strong> first <strong>and</strong> last intensity sample are used for S'(x k ) <strong>and</strong> all three samples for C'(x k ); <strong>the</strong> terms<br />

are balanced with respect to <strong>the</strong> central pixel, being <strong>the</strong> target pixel <strong>of</strong> both calculations. In (3.19), both<br />

S'(x k ) <strong>and</strong> C'(x k ) are constructed from only two consecutive samples; hence <strong>the</strong>y make lower dem<strong>and</strong>s on<br />

<strong>the</strong> spatial coherence <strong>of</strong> <strong>the</strong> pixels. Of course, <strong>the</strong> complete sampling window is still three pixels wide,<br />

<strong>and</strong> S'(x k ) <strong>and</strong> C'(x k ) are associated with slightly different portions <strong>of</strong> <strong>the</strong> speckle field, so that <strong>the</strong>ir spatial<br />

correlation may suffer. The same line <strong>of</strong> argument applies to all o<strong>the</strong>r phase-shifting formulae, where<br />

different a n <strong>and</strong>/or b n are large, small, or vanish, in different representations <strong>of</strong> <strong>the</strong> formulae.<br />

To find out <strong>the</strong> significance <strong>of</strong> this consideration, we study S ~ ( νx , ν y ) <strong>and</strong> C ~ ( ν x , ν y ) experimentally.<br />

First, we generate two separate arrays I(x,y)S x (n) <strong>and</strong> I(x,y)C x (n), this is, we use (3.68) to process 2-D<br />

images with a 1-D phase shift. The results, when visualised as images, should yield two fringe patterns<br />

that look very much like <strong>the</strong> speckle interferogram, but have a phase lag <strong>of</strong> 90° <strong>and</strong> hence deserve <strong>the</strong><br />

names <strong>of</strong> "sine" <strong>and</strong> "cosine" image. This processing method has been used in [Sin94] in <strong>the</strong> context <strong>of</strong><br />

phase demodulation.<br />

The power spectra <strong>of</strong> <strong>the</strong> "sine" <strong>and</strong> "cosine" images, ~ ( , ) ~ 2 ~ ~<br />

2<br />

I ν ν ⋅ S ( ν ) <strong>and</strong> I ( ν , ν ) ⋅ C(<br />

ν ) , can be<br />

x y x<br />

x y x<br />

compared with that <strong>of</strong> <strong>the</strong> original interferogram, I ~ ( νx , νy<br />

)<br />

2 , to reveal <strong>the</strong> changes * . This yields<br />

* Realising that <strong>the</strong> phase-shift is one-dimensional, it would suffice to investigate <strong>the</strong> ν x only; but since we will be concerned<br />

with full 2-D information in Chapter 6.3, we include <strong>the</strong> ν y here already, bearing in mind that <strong>the</strong>y contribute little information<br />

now.

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