Alessandro Rizzi is Full Professor and head of MIPSLab, at the Department of Computer Science, University of Milan. He researches on color, HDR, and related perceptual issues. He is one of the founders of the Italian Color Group, Secretary of CIE Division 8, and IS&T Fellow and Vice President, topical editor of Journal of Optical Society of America, associate editor of Journal of Electronic Imaging. In 2015 received the Davies Medal from the Royal Photographic Society.
He presented tutorial on HDR at several conferences, like e.g. ICIAP, Color Imaging Conf., Electronic Imaging, etc.
On this topic he has published several papers and two books:
- J.J. McCann; V. Vonikakis; A. Rizzi, HDR Scene Capture and Appearance, SPIE Spotlight Series, Volume: SL35, Pages: 92, December 2017, ISBN: 9781510618541.
- J.J McCann, A. Rizzi, The Art and Science of HDR Imaging, John Wiley, ISBN: 978-0-470-66622-7, pp. XXV+389, (2011).
More than 20 years of High-Dynamic-Range imaging:
history, state of the art, improvements and limits
High Dynamic Range (HDR) imaging is a continuously evolving part of Imaging. More than twenty years ago HDR started to be popular with the seminal paper of Debevec and Malik proposing multiple exposures to attempt to capture a wider range of scene information
Ten-plus years ago interest evolved to recreating HDR scenes by integrating widely-used LCD with LED illumination (Helge Seetzen′s Brightsides Displays). Today, the evolution continues in the current sales of HDR televisions using OLED and Quantum Dot technologies. As well, standards for HDR video media formats remain an active area of research.
This tutorial reviews the science and technology underlying the evolution of HDR imaging from silver-halide photography to HDR TVs. HDR technology is a complex problem controlled by optics, signal-processing and visual limits. The solution depends on its goal.
After a detailed description of the dynamic range problem in image acquisition, this course focuses on standard methods of creating and manipulating HDR images focusing on the different possible goals of the HDR pipeline: reproducing light field, reproducing appearance, improving image aesthetic and visibility. For each goal a careful analysis of characteristics, limits and ground truth will be presented. The course aims at replacing myths with measurements about the limits of accurate camera acquisition (range and color) and the usable range of light for displays presented to human vision. It discusses the principles of tone rendering and the role of HDR spatial comparisons.
HDR Reproduction History
HDR principles, devices and techniques
The 3 HDR goals
Reproducing original HDR scene: Capture Challenges
Rendering Appearance for LDR display: Display Challenges
Improving image aesthetic and visibility: HDR in Human Vision
Goals, ground-truths and assessment criteria for HDR applications
John J. McCann, Alessandro Rizzi. The Art and Science of HDR Imaging, 2011. The Wiley-IS&T Series in Imaging Science and Technology, DOI:10.1002/9781119951483, ISBN: 978-0-470-66622-7.
John J. McCann, Vassilios Vonikakis, Alessandro Rizzi. HDR Scene Capture and Appearance, 2017. SPIE PRESS BOOK, SL35.
Any student or scholar that has to deal with HDR in its many fields of application in computer vision, like e.g. medical imaging, advanced learning, technology of displays, video, etc.
Course Level: Intermediate
Materials to be distributed to attendees: Slides and all the materials used in the course will be distributed to the attendees