Anisotropic phase-map denoising using a regularized cost-function with complex-valued Markov-random-fields

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Quiroga Mellado, Juan Antonio and Villa Hernández, José de Jesús and Rodríguez-Vera, Ramón and Rosa Vargas, José Ismael de la and González Ramírez, Efrén (2010) Anisotropic phase-map denoising using a regularized cost-function with complex-valued Markov-random-fields. Optics and Lassers in Engineering, 48 (6). pp. 650-656. ISSN 0143-8166

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Official URL: http://dx.doi.org/10.1016/j.optlaseng.2010.02.002




Abstract

In our recently reported work [1] (Villa et al., 2009) we derived a regularized quadratic-cost function, which includes fringe orientation information, for denosing fringe pattern images. In this work we adopt such idea for denoising wrapped phase-maps. We use a regularized cost-function that uses complex-valued Markov random fields (CMRFs) with orientation information of the filtering direction along isophase lines. The advantage of using an anisotropic filter along isophase lines is that phase and noise can be properly separated while 2 pi phase jumps are preserved even in high frequency zones. Apart from its robustness, the outstanding advantage of our method is its minimal computational effort. We present some results processing simulated and real phase-maps.


Item Type:Article
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© 2010 Elsevier Ltd. We acknowledge the partial support for the realization of this work to the Secretaría de Educación Pública of México through the project PIFI-2007, and the Ministerio de Ciencia y Tecnología of Spain trough the project DPI2005-03891.

Uncontrolled Keywords:Fringe-Pattern-Analysis, Fourier-Transform, Interferometry, Images, Filter, Radar
Subjects:Sciences > Physics > Optics
ID Code:22772
Deposited On:16 Sep 2013 08:38
Last Modified:31 Dec 2020 00:01

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