Lay summary

This project studies the properties of images, and how these properties can be exploited to make a computer understand images. In particular, we already showed that looking for a sparse representation of images yields to image features that can be efficiently used for image understanding. We apply these results to object recognition in natural images and veins and neurons segmentation in biomedical images, but the applications also include image denoising and object tracking.