Color Imaging Meets GeometryMS27

Color perception is a fascinating field of research which has inspired variational models for color correction. Recently, geometric approaches were added to the models to fit better with the human visual system, to treat various color spaces and to transport colors between images. The minisymposium will address recent developments in the field of geometrical color image processing reaching from the perception of brightness in color images, color enhancement and restoration in different color spaces to the colorization of images based on their geometry.

Resnikoff's geometrical framework for the space of perceived colors and locality of vision
Edoardo Provenzi (Université de Bordeaux)
Colorisation of LiDAR point cloud
Aurélie Bugeau (LaBRI / University of Bordeaux)
Exemplar-based face colorization using image morphing
Fabien Pierre (Université de Lorraine)
A geometric model of brightness perception and its application to color images correction
Thomas Batard (Technische Universität Kaiserslautern)
Edoardo Provenzi (Université de Bordeaux)
Gabriele Steidl (University of Kaiserslautern)
brightness perception, color perception, color spaces, colorisation, image enhancement, image representation, nonlinear optimization