A comparison of three total variation based texture extraction models
Journal of Visual Communication and Image Representation
Fast Global Minimization of the Active Contour/Snake Model
Journal of Mathematical Imaging and Vision
An Improved LOT Model for Image Restoration
Journal of Mathematical Imaging and Vision
New total variation regularized L1 model for image restoration
Digital Signal Processing
An Augmented Lagrangian Method for TVg+L1-norm Minimization
Journal of Mathematical Imaging and Vision
VLSM'05 Proceedings of the Third international conference on Variational, Geometric, and Level Set Methods in Computer Vision
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For a certain class of signals, it is known that the recursive median filters provide a minimum of a related regularizing functional, defined by means of the l1 norm. We generalize such results, and we show that a good approximation to the minima of such a functional can be obtained, for any signal, by means of successive applications of recursive median filters of increasing order