Please use this identifier to cite or link to this item: http://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1644
Title: Regularized quadratic cost- function for directional fringe pattern filtering
Authors: Villa Hernández, José de Jesús
Quiroga Mellado, Juan Antonio
De la Rosa Vargas, José Ismael
Issue Date: Jul-2009
Publisher: Optical Society of America
Abstract: We use the regularization theory in a Bayesian framework to derive a quadratic cost function for denoising fringe patterns. As prior constraints for the regularization problem, we propose a Markov random field model that includes information about the fringe orientation. In our cost function the regularization term imposes constraints to the solution (i.e., the filtered image) to be smooth only along the fringe’s tangent direction. In this way as the fringe information and noise are conveniently separated in the frequency space, our technique avoids blurring the fringes. The attractiveness of the proposed filtering method is that the minimization of the cost function can be easily implemented using iterative methods. To show the performance of the proposed technique we present some results obtained by processing simulated and real fringe patterns.
URI: http://ricaxcan.uaz.edu.mx/jspui/handle/20.500.11845/1644
https://doi.org/10.48779/3s0g-1v98
ISSN: 0146-9592
539-4794
Other Identifiers: info:eu-repo/semantics/publishedVersion
Appears in Collections:*Documentos Académicos*-- M. en Ciencias del Proc. de la Info.

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