AbstractHere we examine the partial regularity of minimizers of a functional used for image restoration in BV space. This functional is a combination of a regularized p-Laplacian for the part of the image with small gradient and a total variation functional for the part with large gradient. This model was originally introduced in Chambolle and Lions using the Laplacian. Due to the singular nature of the p-Laplacian we study a regularized p-Laplacian. We show that where the gradient is small, the regularized p-Laplacian smooths the image u, in the sense that u∈C1,α for some 0<α<1. This functional thus anisotropically smooths the image where the gradient is small and preserves edges via total variation where the gradient is large
AbstractA new anisotropic diffusion model is proposed for image restoration and segmentation, which ...
International audienceWe propose and study quantitative measures of smoothness which are adapted to ...
International audienceIn this article, we focus on techniques for vector-valued image regularization...
AbstractHere we examine the partial regularity of minimizers of a functional used for image restorat...
In this paper we study the partial regularity of a functional on BV space proposed by Chambolle and ...
In this paper we study the partial regularity of a functional on BV space proposed by Chambolle and ...
The problem of restoring a signal or image is often tantamount to approximating the solution of a li...
In this paper we present a new regularization term for variational image restoration which can be re...
In this paper we present a new regularization term for variational image restoration which can be re...
In this paper we present a new regularization term for variational image restoration which can be re...
In this paper, we present a new color image regularization method using a rotating smoothing filter....
In this paper, we present a new color image regularization method using a rotating smoothing filter....
We propose a new space-variant anisotropic regular ization term for variational image restoration, b...
We propose a new space-variant anisotropic regular ization term for variational image restoration, b...
In this paper, we present a new color image regularization method using a rotating smoothing filter....
AbstractA new anisotropic diffusion model is proposed for image restoration and segmentation, which ...
International audienceWe propose and study quantitative measures of smoothness which are adapted to ...
International audienceIn this article, we focus on techniques for vector-valued image regularization...
AbstractHere we examine the partial regularity of minimizers of a functional used for image restorat...
In this paper we study the partial regularity of a functional on BV space proposed by Chambolle and ...
In this paper we study the partial regularity of a functional on BV space proposed by Chambolle and ...
The problem of restoring a signal or image is often tantamount to approximating the solution of a li...
In this paper we present a new regularization term for variational image restoration which can be re...
In this paper we present a new regularization term for variational image restoration which can be re...
In this paper we present a new regularization term for variational image restoration which can be re...
In this paper, we present a new color image regularization method using a rotating smoothing filter....
In this paper, we present a new color image regularization method using a rotating smoothing filter....
We propose a new space-variant anisotropic regular ization term for variational image restoration, b...
We propose a new space-variant anisotropic regular ization term for variational image restoration, b...
In this paper, we present a new color image regularization method using a rotating smoothing filter....
AbstractA new anisotropic diffusion model is proposed for image restoration and segmentation, which ...
International audienceWe propose and study quantitative measures of smoothness which are adapted to ...
International audienceIn this article, we focus on techniques for vector-valued image regularization...