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A Fast Augmented Lagrangian Method for Euler’s Elastica Models 被引量:2
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作者 Yuping Duan Yu Wang Jooyoung Hahn 《Numerical Mathematics(Theory,Methods and Applications)》 SCIE 2013年第1期47-71,共25页
In this paper,a fast algorithm for Euler’s elastica functional is proposed,in which the Euler’s elastica functional is reformulated as a constrained minimization problem.Combining the augmented Lagrangian method and... In this paper,a fast algorithm for Euler’s elastica functional is proposed,in which the Euler’s elastica functional is reformulated as a constrained minimization problem.Combining the augmented Lagrangian method and operator splitting techniques,the resulting saddle-point problem is solved by a serial of subproblems.To tackle the nonlinear constraints arising in the model,a novel fixed-point-based approach is proposed so that all the subproblems either is a linear problem or has a closed-form solution.We show the good performance of our approach in terms of speed and reliability using numerous numerical examples on synthetic,real-world and medical images for image denoising,image inpainting and image zooming problems. 展开更多
关键词 Euler’s elastica augmented Lagrangian method image denoising image inpainting image zooming
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