RT Journal Article
T1 Anisotropic phase-map denoising using a regularized cost-function with complex-valued Markov-random-fields
A1 Quiroga Mellado, Juan Antonio
A1 Villa Hernández, José de Jesús
A1 Rodríguez-Vera, Ramón
A1 Rosa Vargas, José Ismael de la
A1 González Ramírez, Efrén
AB 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.
PB Elsevier Sci. Ltd.
SN 0143-8166
YR 2010
FD 2010-06
LK https://hdl.handle.net/20.500.14352/43967
UL https://hdl.handle.net/20.500.14352/43967
LA eng
NO © 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.
NO Secretaría de Educación Pública of México
NO Ministerio de Ciencia y Tecnología of Spain
DS Docta Complutense
RD 8 abr 2025