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The Image study track aims at providing the students with the necessary background, competences and skills for engineering and research positions in image processing, image interpretation, computer vision, 3D imaging, in various domains (biomedical imaging, computational photography, scene modeling and synthesis, remote sensing, biometry, defense, etc.).

The program includes the foundations of image processing as well as advanced courses on mathematical methods for images, computer vision and 3D reconstruction, AI inspired methods including deep learning, for image analysis and understanding, image classification and indexing, as well as the basis of video processing. The main application domains (medical imaging, aerial and satellite imaging, digital photography) are presented in the courses by researchers active in these fields, and industrial partners will describe other applications (biometry, industrial vision...). In particular, during the image analysis courses, recent techniques for machine learning will be detailed in these applicative domains.

The program provides strong and sound knowledge in the domain of image processing and image interpretation that will be useful both in industry and in research labs, with subsequent doctoral studies.

It can be associated with the IGR track (Human-Computer Interaction and 3D Computer Graphics) for topics related to virtual reality and computer graphics, as well as with the IDAS track (Smart Data : Machine learning and Signal) or the SD track (Data Science), for learning and mining methods.

Students are expected to have previously acquired a solid background in applied mathematics, computer science, signal processing.