Regularized quadratic cost function for oriented fringe-pattern filtering

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 reg...

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Veröffentlicht in:	Optics letters 2009-06, Vol.34 (11), p.1741-1743
Hauptverfasser:	VILLA, Jesús, QUIROGA, Juan Antonio, DE LA ROSA, Ismael
Format:	Artikel
Sprache:	eng
Schlagworte:	Exact sciences and technology Fundamental areas of phenomenology (including applications) Image forming and processing Image reconstruction tomography Imaging and optical processing Optics Physics
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