We consider a gradient ow of the total variation in a negative Sobolev space H s (0 s 1) under the periodic boundary condition. If s = 0, the ow is nothing but the classical total variation ow. If s = 1, this is the fourth order total variation ow. We consider a convex variational problem which gives an implicit-time discrete scheme for the ow. By a duality based method, we give a simple numerical scheme to calculate this minimizing problem numerically and discuss convergence of a forward- backward splitting scheme. Several numerical experiments are given
Abstract. We study the gradient flow for the total variation functional, which arises in image pro-c...
We study the gradient flow for the total variation functional, which arises in image processing and...
ABSTRACT. We point out a simple 2D formula to reconstruct the discrete gradient on a polygon from th...
In the talk, we consider a gradient flow of the total variation in the negative Sobolev space $H^{-s...
Based on the Fenchel duality we build a primal-dual framework for minimizing a general functional co...
We consider a nonlinear fourth-order diffusion equation that arises in denoising of image densities....
We study the JKO scheme for the total variation, characterize the optimizers, prove some of their qu...
We present a new duality theory for non-convex variational problems, under possibly mixed Dirichlet ...
We present a variational framework for shape optimization problems that establishes clear and explic...
Abstract. We propose and analyze an algorithm for the solution of the L2-subgradient flow of the tot...
We define rigorously a solution to the fourth-order total variation flow equation in Rn. If n ≥ 3, i...
The problem of minimizing the sum, or composition, of two objective functions is a frequent sight in...
Abstract: In this paper we propose optimisation methods for variational regularisation problems base...
In this paper, we propose a new numerical scheme for a spatially discrete model of constrained total...
The Minimizing Movement (MM) scheme is a variational method introduced by E. De Giorgi to solve grad...
Abstract. We study the gradient flow for the total variation functional, which arises in image pro-c...
We study the gradient flow for the total variation functional, which arises in image processing and...
ABSTRACT. We point out a simple 2D formula to reconstruct the discrete gradient on a polygon from th...
In the talk, we consider a gradient flow of the total variation in the negative Sobolev space $H^{-s...
Based on the Fenchel duality we build a primal-dual framework for minimizing a general functional co...
We consider a nonlinear fourth-order diffusion equation that arises in denoising of image densities....
We study the JKO scheme for the total variation, characterize the optimizers, prove some of their qu...
We present a new duality theory for non-convex variational problems, under possibly mixed Dirichlet ...
We present a variational framework for shape optimization problems that establishes clear and explic...
Abstract. We propose and analyze an algorithm for the solution of the L2-subgradient flow of the tot...
We define rigorously a solution to the fourth-order total variation flow equation in Rn. If n ≥ 3, i...
The problem of minimizing the sum, or composition, of two objective functions is a frequent sight in...
Abstract: In this paper we propose optimisation methods for variational regularisation problems base...
In this paper, we propose a new numerical scheme for a spatially discrete model of constrained total...
The Minimizing Movement (MM) scheme is a variational method introduced by E. De Giorgi to solve grad...
Abstract. We study the gradient flow for the total variation functional, which arises in image pro-c...
We study the gradient flow for the total variation functional, which arises in image processing and...
ABSTRACT. We point out a simple 2D formula to reconstruct the discrete gradient on a polygon from th...