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Opt Lett. 2013 Feb 1;38(3):275-7. doi: 10.1364/OL.38.000275.

Variational image decomposition for automatic background and noise removal of fringe patterns.

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Department of Applied Physics, University of Tianjin, Tianjin, China.


In optical metrology, state of the art algorithms for background and noise removal of fringe patterns are based on space-frequency analysis. In this Letter, an approach based on variational image decomposition is proposed to remove background and noise from a fringe pattern simultaneously. In the proposed method, a fringe image is directly decomposed into three components: a first one containing background, a second one fringes, and a third one noise, which are described in different function spaces and are solved by minimization of the functional. A simple technical process involved in the minimization algorithm improves the convergence performance. The proposed approach is verified with the simulated and experimental fringe patterns.

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