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Application and Optimisation of the Spatial Phase Shifting ...

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5.4 Out-<strong>of</strong>-plane displacements 119<br />

observe a distinctly reduced error. Fur<strong>the</strong>r reduction <strong>of</strong> <strong>the</strong> speckle size does not greatly improve <strong>the</strong><br />

performance for this <strong>and</strong> o<strong>the</strong>r high N x .<br />

On <strong>the</strong> o<strong>the</strong>r end <strong>of</strong> <strong>the</strong> scale, at d s = 1.5 d p , σ d from SPS consists chiefly <strong>of</strong> bias noise (i.e. σ d is already at<br />

0.08 λ for N x =0) until decorrelation sets in. At moderate fringe densities, i.e. up to some 30 fringes over<br />

<strong>the</strong> image width, we observe σ d to increase steeply for a speckle size below some 2.5 d p , which shows that<br />

<strong>the</strong> SPS method is not very tolerant <strong>of</strong> low spatial coherence <strong>of</strong> <strong>the</strong> data points. In general, <strong>the</strong> SPS<br />

experiments confirm a speckle size <strong>of</strong> about 3 d p to be most suitable. Since <strong>the</strong> available amount <strong>of</strong> object<br />

light grows as 1/d s ², we will not stop here <strong>and</strong> try to fur<strong>the</strong>r reduce d s without increasing σ d in Chapter 6.4.<br />

In <strong>the</strong> TPS experiments, a speckle size around 1 d p turns out to yield <strong>the</strong> best results for low fringe<br />

densities; yet at larger tilts, we obtain better measurements with larger speckles. This is due to imageplane<br />

speckle displacement: <strong>the</strong> same lateral speckle displacement introduces less noise when <strong>the</strong> speckles<br />

are larger, although <strong>the</strong> pattern in itself decorrelates faster.<br />

With large speckles, <strong>the</strong> TPS measurements are worse than those from SPS as soon as <strong>the</strong> object is<br />

moved. For high fringe densities <strong>and</strong> d s =10 d p , some entries are missing from <strong>the</strong> curves because<br />

decorrelation had advanced in such a way that no trace <strong>of</strong> fringes was left (<strong>of</strong> course, <strong>the</strong> fitting algorithm<br />

did find a minimum in <strong>the</strong> coarse r<strong>and</strong>om phase map; but it always does). In this case, reducing <strong>the</strong><br />

speckle size brings about a larger improvement <strong>of</strong> performance.<br />

For N x 40, SPS performs better than TPS for any speckle size. This demonstrates a peculiarity <strong>of</strong> SPS:<br />

because <strong>of</strong> <strong>the</strong> spatially extended phase-sampling window (see 3.4.4), some smoothing <strong>of</strong> <strong>the</strong> phase values<br />

takes place as <strong>the</strong>y are determined. The sampling window has an extent <strong>of</strong> 3 pixels in <strong>the</strong> x direction only,<br />

which could introduce anisotropy; but <strong>the</strong> errors from <strong>the</strong> N y measurements agree with Fig. 5.5 quite well,<br />

so that <strong>the</strong> one-dimensional phase sampling has no detectable effect.<br />

The drastic increase <strong>of</strong> σ d for <strong>the</strong> speckle size <strong>of</strong> 0.5 d p is somewhat surprising, since it has been proven in<br />

[Leh98] that very good TPS measurements remain possible even with much smaller speckles. In our case<br />

however, <strong>the</strong>re are also slight r<strong>and</strong>om in-plane shifts <strong>of</strong> <strong>the</strong> object that accompany <strong>the</strong> tilts. They do not<br />

show up in <strong>the</strong> left-h<strong>and</strong> graph <strong>of</strong> Fig. 5.3 because <strong>of</strong> <strong>the</strong> larger speckles used <strong>the</strong>re; but at d s = 0.5 d p , <strong>the</strong><br />

accuracy suffers noticeably from this minor effect.<br />

To get an impression <strong>of</strong> what <strong>the</strong> obtained sawtooth images look like, Fig. 5.6 provides some example<br />

results; <strong>the</strong> corresponding σ d values may be found from Fig. 5.5.

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