I am happy to announce that the following paper has been accepted at the 22th IEEE International Conference on Image Processing (ICIP'2015), to be held on September 27-30 in Québec City, Canada. How to make nD images well-composed without interpolation Nicolas Boutry¹², Thierry Géraud¹, Laurent Najman² ¹ EPITA Research and Development Laboratory (LRDE) ² Université Paris-Est, LIGM, Équipe A3SI, ESIEE Paris https://www.lrde.epita.fr/wiki/Publications/boutry.15.icip Abstract: Latecki et al. have introduced the notion of well-composed images, i.e., a class of images free from the connectivities paradox of discrete topology. Unfortunately natural and synthetic images are not a priori well-composed, usually leading to topological issues. Making any nD image well-composed is interesting because, after- wards, the classical connectivities of components are equivalent, the component boundaries satisfy the Jordan separation theorem, and so on. In this paper, we propose an algorithm able to make nD images well-composed without any interpolation. We illustrate on text detection the benefits of having strong topological properties.