Fronts propagating with curvature-dependent speed: algorithms based on Hamilton-Jacobi formulations
Journal of Computational Physics
Nonlinear total variation based noise removal algorithms
Proceedings of the eleventh annual international conference of the Center for Nonlinear Studies on Experimental mathematics : computational issues in nonlinear science: computational issues in nonlinear science
A Nonlinear Primal-Dual Method for Total Variation-Based Image Restoration
SIAM Journal on Scientific Computing
An Algorithm for Total Variation Minimization and Applications
Journal of Mathematical Imaging and Vision
SSVM '09 Proceedings of the Second International Conference on Scale Space and Variational Methods in Computer Vision
An Upwind Finite-Difference Method for Total Variation-Based Image Smoothing
SIAM Journal on Imaging Sciences
IEEE Transactions on Image Processing
An Upwind Finite-Difference Method for Total Variation-Based Image Smoothing
SIAM Journal on Imaging Sciences
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We bound the difference between the solution to the continuous Rudin-Osher-Fatemi (ROF) image smoothing model and the solutions to various finite-difference approximations to this model. These bounds apply to “typical” images, i.e., images with edges or with fractal structure. These are the first bounds on the error in numerical methods for ROF smoothing.