UNWRAPPING OF DIGITAL SPECKLE-PATTERN INTERFEROMETRY PHASE MAPS BY USE OF A MINIMUM L-O-NORM ALGORITHM

The performance of a minimum L-0-norm unwrapping algorithm is investig ated by use of synthetic digital speckle-pattern interferometry (DSPI) wrapped phase maps that simulate experimentally obtained data. This a lgorithm estimates its own weights to mask inconsistent pixels. Partic ular features usually included in DSPI wrapped phase distributions, su ch as shears, speckle noise, fringe cuts, object physical limits, and superimposed phase maps, are analyzed. Some adequate approaches to sol ving these features are discussed. Finally, it is shown that a complex case in which shears and hinge cuts coexist in the wrapped phase cann ot be solved satisfactorily with the minimum L-0-norm algorithm by its elf. To cope with this problem, we propose a new scheme. (C) 1998 Opti cal Society of America.