Regularized quadratic cost function for oriented fringe-pattern filtering
نویسندگان
چکیده
منابع مشابه
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 regularization term imposes constraints to the solution (i.e., the filtered image) to be smooth only...
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ژورنال
عنوان ژورنال: Optics Letters
سال: 2009
ISSN: 0146-9592,1539-4794
DOI: 10.1364/ol.34.001741