Scale-Space and Edge Detection Using Anisotropic Diffusion
IEEE Transactions on Pattern Analysis and Machine Intelligence
Image selective smoothing and edge detection by nonlinear diffusion
SIAM Journal on Numerical Analysis
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
Global Total Variation Minimization
SIAM Journal on Numerical Analysis
New Methods of Controlled Total Variation Reduction for Digital Functions
SIAM Journal on Numerical Analysis
An Algorithm for Total Variation Minimization and Applications
Journal of Mathematical Imaging and Vision
SIAM Journal on Numerical Analysis
Equivalence results for TV diffusion and TV regularisation
Scale Space'03 Proceedings of the 4th international conference on Scale space methods in computer vision
Nonlinear evolution equations as fast and exact solvers of estimation problems
IEEE Transactions on Signal Processing
Efficient and reliable schemes for nonlinear diffusion filtering
IEEE Transactions on Image Processing
Multiresolution segmentation of natural images: from linear to nonlinear scale-space representations
IEEE Transactions on Image Processing
Splines in Higher Order TV Regularization
International Journal of Computer Vision
Theoretical foundations for spatially discrete 1-D shock filtering
Image and Vision Computing
Adaptive non-linear diffusion in wavelet domain
ICIAR'11 Proceedings of the 8th international conference on Image analysis and recognition - Volume Part I
From tensor-driven diffusion to anisotropic wavelet shrinkage
ECCV'06 Proceedings of the 9th European conference on Computer Vision - Volume Part I
Image processing by minimising Lp norms
Pattern Recognition and Image Analysis
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Singular diffusion equations such as total variation (TV) and balanced forward–backward (BFB) diffusion are appealing: They have a finite extinction time, and experiments show that piecewise constant structures evolve. Unfortunately, their implementation is awkward. The goal of this paper is to introduce a novel class of numerical methods for these equations in the 2D case. They are simple to implement, absolutely stable and do not require any regularisation in order to make the diffusivity bounded. Our schemes are based on analytical solutions for 2×2-pixel images which are combined by means of an additive operator splitting (AOS). We show that they may also be regarded as iterated 2D Haar wavelet shrinkage. Experiments demonstrate the favourable performance of our numerical algorithm.