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Phase unwrapping with regularized phase-tracking technique based on simulated annealing algorithm

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We propose an improved regularized phase-tracking (RPT) technique for unwrapping two-dimensional principal phase maps. The size of the neighborhood selected for plane approximation at each pixel is adjustable according to local noise severity. In the area of low noise, the size is small to improve processing speed. On the contrary, a neighborhood with large size is selected to enhance the noise-reduced ability in the high-noisy area. Further, simulated annealing (SA) algorithm is applied to RPT technique for finding the global optimum solutions. Numerical simulation proves that this SA-based RPT phase unwrapping technique is highly robust to noise and experimental results also show its feasibility in practical applications.

Document Type: Research Article


Affiliations: Shanghai Institute of Optics and Fine Mechanics, Academia Sinica, P.O. Box 800-211, Shanghai 201800, China

Publication date: June 1, 2003

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