We performed fast continuous acquisitions of consecutive interferograms, picking usable fringe patterns out of a large amount of recorded frames. This is the crucial task in the measurement procedure. For this purpose we developed a software routine, based on jointly analysis of both spectral content and fringe image sharpne ss, as selection rule. From the selected frames, by using a simple approach based on Hilbert Transform and Phase Unwrapping, via MAx-ﬂow (PUMA) algorithm, we were able to evaluate the painting whole structure deformations, caused by environmental thermo-hygrometric fluctuations.
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P. Memmolo, G. Arena, M. Paturzo, G. Fatigati, M. Grilli, L. Pezzati, Pietro Ferraro, "Recovering data from noisy fringe patterns from a portable digital speckle pattern interferometer for in-situ inspection of painting hanging on the wall," Proc. SPIE 9386, Practical Holography XXIX: Materials and Applications, 93860X (10 March 2015);