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Unwrapping of digital speckle-pattern interferometry phase maps by use of a minimum L 0-norm algorithm

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Abstract

The performance of a minimum L 0-norm unwrapping algorithm is investigated by use of synthetic digital speckle-pattern interferometry (DSPI) wrapped phase maps that simulate experimentally obtained data. This algorithm estimates its own weights to mask inconsistent pixels. Particular features usually included in DSPI wrapped phase distributions, such as shears, speckle noise, fringe cuts, object physical limits, and superimposed phase maps, are analyzed. Some adequate approaches to solving these features are discussed. Finally, it is shown that a complex case in which shears and fringe cuts coexist in the wrapped phase cannot be solved satisfactorily with the minimum L 0-norm algorithm by itself. To cope with this problem, we propose a new scheme.

© 1998 Optical Society of America

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