EI2019 Short Course Description
SC15: High-Dynamic-Range Theory and Technology
Sunday 13 January • 3:45 – 5:45 pm
Course Length: 2 hours
Course Level: Intermediate
Instructors: Alessandro Rizzi, University of Milano, and John McCann, McCann Imaging
Fee*: Member: $185 /
Non-member: $210 /
Student: $65
*after December 18, 2018, members / non-members prices increase by $50, student price increases by $20
High Dynamic Range (HDR) imaging is a continuously evolving part of color. It began with the invention of HDR painting in the Renaissance. It continued with multiple exposures to attempt to capture a wider range of scene information, and to recreating HDR scenes by integrating widely-used LCD with LED illumination. Today, there are HDR televisions using OLED and Quantum Dot technologies and developing HDR display standards.
HDR imaging captures and displays more information than conventional imaging. Non-uniform illumination increases the range of light in natural scenes. After a detailed description of the problems in accurate image acquisition, this course focuses on methods of creating and manipulating HDR images using scene measurements of camera images and visual appearances. Measuring the actual physical limitations of scene capture, scene display, and the interaction of these systems with human vision are emphasized, as is the differences between single-pixel and spatial comparison HDR algorithms. The course presents 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 models.
Learning Outcomes
- Explore the history of HDR imaging.
- Understand dynamic range and quantization: the ‘salame’ metaphor.
- Compare single and multiple-exposures for scene capture.
- Measure optical limits in acquisition and display: scene dependent effects of glare.
- RAW scene capture in LDR and HDR scenes.
- Human vision and a program to calculate the retinal image altered by glare.
- Discuss current HDR TV systems and standards: tone-rendering vs. spatial HDR methods.
Intended Audience
Anyone interested in using HDR imaging: science and applications. This includes students, color scientists, imaging researchers, medical imagers, software and hardware engineers, photographers, cinematographers, and production specialists.
Alessandro Rizzi is Full Professor and head of the MIPS Lab in the department of computer science at the University of Milan, teaching fundamentals of digital imaging and colorimetry. He is doing research since 1990 in the field of digital imaging with a particular interest on color, visualization, photography, HDR, and on the perceptual issues related to digital imaging, interfaces, and lighting. He has been one of the founders of the Italian Color Group, Secretary of CIE Division 8, and IS&T Fellow and Vice President. In 2015 he received the Davies medal from the Royal Photographic Society. Rizzi is co-chair of the IS&T conference “Color Imaging: Displaying, Processing, Hardcopy and Applications”, topical editor for Applied Color Science of the Journal of Optical Society of America, associate editor of Journal of Electronic Imaging, member of several program committees of conferences related to color and digital imaging, and author of more than 300 scientific works.
John McCann received a degree in biology from Harvard College (1964). He worked in, and managed, the Vision Research Laboratory at Polaroid from 1961 to 1996. He has studied human color vision, digital image processing, large format instant photography, and the reproduction of fine art. His publications and patents have studied Retinex theory, color constancy, color from rod/cone interactions at low light levels, appearance with scattered light, and HDR imaging. He is a Fellow of IS&T and the Optical Society of America (OSA). He is a past President of IS&T and the Artists Foundation, Boston. He is the IS&T/OSA 2002 Edwin H. Land Medalist and IS&T 2005 Honorary Member.
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