Computational photography
Summary
The students will gain the theoretical knowledge in computational photography, which allows recording and processing a richer visual experience than traditional digital imaging. They will also execute practical group projects to develop their own computational photography application.
Content
Computational photography is the art, science, and engineering of creating a great (still or moving) image. Information is recorded in space, time, across visible and invisible radiation and from other sources, and then post-processed to produce the final - visually pleasing - result.
Basics: Human vision system, Light and illumination, Geometric optics, Color science, Sensors, Digital camera systems.
Generalized illumination: Structured light, High dynamic range (HDR) imaging, Time-of-flight.
Generalized optics: Coded Image Sensing, Coded aperture, Focal stacks.
Generalized sensing: Low light imaging, Depth imaging, Plenoptic imaging, Light field cameras.
Generalized processing: Super-resolution, In-painting, Compositing, Photomontages, Panoramas, HDR imaging, Multi-wavelength imaging, Dynamic imaging.
Generalized display: Stereoscopic displays, HDR displays, 3D displays, Mobile displays.
Deep Learning for image resoration and image enhancement.
Keywords
Computational Photography, Coded Image Sensing, Non-classical image capture, Multi-Image & Sensor Fusion, Mobile Imaging, Machine Learning
Learning Prerequisites
Recommended courses
- Introduction to Computer Vision.
- Signal Processing for Communications.
- Machine Learning.
Important concepts to start the course
- Basic signal/image processing.
- Basic computer vision.
- Basic programming (Python, iOS, Android).
Learning Outcomes
By the end of the course, the student must be able to:
- Create a computational photography application.
Assessment methods
The theoretical part will be evaluated with an oral exam at the end of the semester, and the practical part based on the students' group projects
Dans les plans d'études
- Semestre: Printemps
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Computational photography
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Computational photography
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Computational photography
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Computational photography
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Computational photography
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Computational photography
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Computational photography
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Computational photography
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Computational photography
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Computational photography
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Computational photography
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines
- Semestre: Printemps
- Forme de l'examen: Pendant le semestre (session d'été)
- Matière examinée: Computational photography
- Cours: 2 Heure(s) hebdo x 14 semaines
- Projet: 2 Heure(s) hebdo x 14 semaines