Fringe-pattern denoising based on discrete topological analysis
Optics Letters, Vol. 35, Issue 20, pp. 3526-3528 (2010)
http://dx.doi.org/10.1364/OL.35.003526
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Abstract
We present an effective way to solve the denoising problem of fringe patterns in optics interferometry. The proposed method is based on the topological analysis of an appropriate cost function. To overcome the blurring drawback of the linear diffusion approach, the linear diffusion coefficient at each edge is perturbed successively. The total variation of a discrete cost function can be taken as an indicator function to pick out the most suitable edges of pixels at which the diffusion coefficients are to be perturbed. Then, a filtered image can be obtained by using selected diffusion coefficients associated to the edges. We demonstrate the performance of the proposed method via application to numerically simulated and experimentally obtained fringe patterns.
© 2010 Optical Society of America
OCIS Codes
(070.6110) Fourier optics and signal processing : Spatial filtering
(120.2650) Instrumentation, measurement, and metrology : Fringe analysis
(100.3008) Image processing : Image recognition, algorithms and filters
ToC Category:
Image Processing
History
Original Manuscript: July 20, 2010
Revised Manuscript: September 16, 2010
Manuscript Accepted: September 20, 2010
Published: October 15, 2010
Citation
Yanhua Li, Shiliang Qu, Xiangjun Chen, and Zhiyong Luo, "Fringe-pattern denoising based on discrete topological analysis," Opt. Lett. 35, 3526-3528 (2010)
http://www.opticsinfobase.org/ol/abstract.cfm?URI=ol-35-20-3526
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