Titlebook: Scale Space and Variational Methods in Computer Vision; Third International Alfred M. Bruckstein,Bart M. Haar Romeny,Michael M Conference

Gerontology

A Statistical Multiresolution Strategy for Image Reconstruction1]. It constitutes a statistical regularization technique that uses a ℓ.-type distance measure as data fidelity combined with a convex cost functional. The resulting convex optimization problem is approached by a combination of an inexact augmented Lagrangian method and Dykstra’s projection algorith

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沙文主义

A Fast Augmented Lagrangian Method for Euler’s Elastica Model minimization problem. Combining the augmented Lagrangian method and operator splitting techniques, the resulting saddle-point problem is solved by a serial of sub-problems. To tackle the nonlinear constraints arising in the model, a novel fixed-point-based approach is proposed so that all the sub-p

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Fast Algorithms for ,-elastica Energy with the Application to Image Inpainting and Curve Reconstructls in [16], the algorithm is extended to solve the problem related to .-elastica energy based on augmented Lagrangian method. The proposed algorithms are as efficient as the previous method in terms of low computational cost per iteration. We provide an algorithm which replaces fast Fourier transfor