We propose a new variational model to denoise an image corrupted by Poisson noise. Like the ROF model described in [1] and [2], the new model uses total-variation regularization, w...
In [2], Chambolle proposed an algorithm for minimizing the total variation of an image. In this short note, based on the theory on semismooth operators, we study semismooth Newton...
Michael K. Ng, Liqun Qi, Yu-Fei Yang, Yu-Mei Huang
There are many watershed transform algorithms in literature but most of them do not exactly correspond to their respective definition. The solution given by such algorithms depend...
Abstract. This paper discusses the interest of the Tree of Shapes of an image as a region oriented image representation. The Tree of Shapes offers a compact and structured represen...
Coloma Ballester, Vicent Caselles, Laura Igual, Ll...
In image denoising, many researchers have tried for several years to combine wavelet-like approaches and optimization methods (typically based on the total variation minimization)...
Illusorycontours,suchastheclassicalKanizsatriangleandsquare[9],areintrinsicphenomenainhuman vision. These contours are not completely defined by real object boundaries, but also i...
: In this paper, we study the parameter estimation problem in a general heteroscedastic linear system, by putting the problem in the framework of the bilinear approach to low-rank ...
High-quality image inpainting methods based on nonlinear higher-order partial differential equations have been developed in the last few years. These methods are iterative by natur...
A variational approach to image or video segmentation consists in defining an energy depending on local or global image characteristics, the minimum of which being reached for ob...
Eric Debreuve, Muriel Gastaud, Michel Barlaud, Gil...