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Application and Optimisation of the Spatial Phase Shifting ...

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3.4 <strong>Spatial</strong> phase shifting 79<br />

which allows for a very convenient determination <strong>of</strong> <strong>the</strong> speckle size from <strong>the</strong> power spectrum <strong>of</strong> <strong>the</strong><br />

interferogram. When <strong>the</strong> interference b<strong>and</strong>s are centred on each o<strong>the</strong>r (i.e. <strong>the</strong> source point <strong>of</strong> R is placed<br />

in <strong>the</strong> exact centre <strong>of</strong> AS), <strong>the</strong> edges <strong>of</strong> <strong>the</strong> frequency plane are reached when d s =1.22 d p , but using its<br />

corners, we can accurately determine speckle sizes down to 0.86 d p .<br />

The advantage <strong>of</strong> using interferogram power spectra gets clear when we consider Fig. 3.22: determining<br />

<strong>the</strong> speckle size from this image is very easy, while it is problematic to apply <strong>the</strong> autocorrelation<br />

technique for so small a speckle size.<br />

Fig. 3.22: Power spectrum <strong>of</strong> interferogram with d s =1 d p ; spatial frequency axes as in Fig. 3.20.<br />

Finally, if <strong>the</strong> source point <strong>of</strong> R is not in <strong>the</strong> plane <strong>of</strong> AS, <strong>the</strong> δ function above will broaden; <strong>the</strong>n, on<br />

convolution with ST AS , <strong>the</strong> sharp edges <strong>of</strong> <strong>the</strong> cross-interference spectra will smear out. This behaviour<br />

provides us with a very accurate means to match <strong>the</strong> curvatures <strong>of</strong> <strong>the</strong> two wave fields.<br />

3.4 <strong>Spatial</strong> phase shifting<br />

An elegant way to get rid <strong>of</strong> <strong>the</strong> problems associated with inter-frame temporal parameter fluctuations is<br />

to acquire <strong>the</strong> phase-shifted data simultaneously. Since <strong>the</strong> phase shift <strong>the</strong>n has to take place in space<br />

instead <strong>of</strong> time, this approach is quite generally called spatial phase shifting (SPS) [Schwi90, Tak90b,<br />

Kuj93, Vla94]; <strong>the</strong> underlying principle has been known for a long time [Lei62]. With SPS, phasemeasuring<br />

methods gain access to unstable environments <strong>and</strong> transient events. For very rapid phenomena,<br />

<strong>the</strong> use <strong>of</strong> pulsed illumination represents an effective way to suppress even <strong>the</strong> intra-frame fluctuations<br />

<strong>and</strong> freeze virtually anything. In principle, it gets possible to track <strong>the</strong> object phase at <strong>the</strong> frame rate <strong>of</strong> <strong>the</strong><br />

camera, with <strong>the</strong> additional benefit that any frame <strong>of</strong> <strong>the</strong> series can be appointed <strong>the</strong> new reference image.<br />

The increased temporal resolution <strong>of</strong> this approach has, however, to be paid for in terms <strong>of</strong> spatial<br />

resolution, since it is <strong>of</strong> course necessary to spatially separate <strong>the</strong> I n . In analogy to TPS, we can distinguish<br />

between phase stepping <strong>and</strong> phase ramping. The former is implemented by generating several images <strong>of</strong><br />

<strong>the</strong> same object <strong>and</strong> recording <strong>the</strong>m simultaneously on several sensors, or different parts <strong>of</strong> <strong>the</strong> same<br />

sensor. The necessary phase shift between <strong>the</strong> images can be generated by polarisation optics [Smy84,<br />

Kuj93, vHaa94], diffraction gratings [Kwo84, Kuj88], CGHs [Bar99] or combinations <strong>of</strong> <strong>the</strong>se [Kra98,<br />

Kem99, Het00]. For <strong>the</strong> phase retrieval to work properly, <strong>the</strong> I n must be aligned with subpixel accuracy

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