期刊
OPTICS LETTERS
卷 38, 期 3, 页码 275-277出版社
OPTICAL SOC AMER
DOI: 10.1364/OL.38.000275
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资金
- National Natural Science Foundation of China (NSFC) [61177007]
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. (C) 2013 Optical Society of America
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