Tutorial Program
Monday, June 19, 2006
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Reminder:IS&T reserves the right to cancel classes in the event of insufficient advance registration. Please indicate your interest early. Please note: Due to online configuration limits, those who register online may only register in US dollars and their credit cards will be charged as such. To register in Euros, please fill out a registration form and fax it to IS&T. |
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T01 — 4 hour tutorial 19 June 2006, 8:30 am - 12:30 pm CANCELLED: Colour Science for HDTV and Digital Cinema Instructor: Mr. Charles Poynton | ||||||||||||||||||
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Digital HDTV production and digital movie making present important and challenging applications of colour science, colour image coding, and colour management. This course explores the application of colour science to HDTV and digital cinema. The technologies of HDTV and D-cinema—from camera and scanner technology, through processing, to digital cinema display equipment and film recorders—are detailed. The application of colour science to each of these steps is explained, and how colour appearance models are finding new applications in this domain is outlined. Benefits:
Intended Audience: Scientists; programmers; visual effects and post-production supervisors; compositors; digital imaging technicians; and video, HDTV, and digital cinema engineers, will all find the course useful. Charles Poynton (www.poynton.com) is a specialist in the physics, mathematics, and engineering of digital colour imaging systems, including digital video, HDTV, and digital cinema (D-cinema). A Fellow of the Society of Motion Picture and Television Engineers (SMPTE), Poynton was awarded the Society’s prestigious David Sarnoff Gold Medal for his work to integrate video technology with computing and communications. In February 2003, his second book, Digital Video and HDTV Algorithms and Interfaces, was the 3,339-th most popular item at Amazon.com.
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T02 — 2 hour tutorial 19 June 2006, 8:30 - 10:30 am Critical Issues in Colour Measurements for Color Management Instructor: Dr. Danny Rich, Sun Chemical Corporation | ||||||||||||||||||
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Reproducible and reliable colour management requires accurate colour profiles. Obtaining accurate colour profiles requires absolute colour measurements. This tutorial describes the most critical issues in producing absolute colour measurements. These issues are not normally discussed in product literature or operator training manuals. Methods for identifying and addressing these critical issues will be presented. Benefits:
Intended Audience: This course will be of interest to engineers and technologists who are responsible for making and interpreting colour measurements in colour image reproduction. It will also interest those who must create device profiles that produce the highest level of predictability in the communication and reproduction of coloured images. Danny C. Rich has bachelors and masters degrees in optical physics and a doctorate in colour science from the Rensselaer Colour Measurement Laboratory under the direction of the late Fred W. Billmeyer, Jr. He has been published on all aspects of colour science and technology and is active in colour measurement standards organizations such as ASTM E12 on Colour & Appearance, ISO TC130 on Graphic Arts, and in CIE Division 2 on Measurement of Optical Radiations. Rich is currently head of the Colour Research Laboratory at Sun Chemical Corporation, the world’s largest producer of printing inks.
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T03 — 2 hour tutorial 19 June 2006, 8:30 - 10:30 am Colour Vision and Colour Appearance Instructor: Prof. David H. Foster, University of Manchester | ||||||||||||||||||
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The aim of this tutorial is to introduce the physiology, physics, and psychophysics of human colour vision and colour appearance. The first part of the tutorial concentrates on the absorption spectra of the rods and cones of the eye, the luminosity function, adaptation and von Kries scaling, post-receptoral coding, colour-opponency, and spectral sharpening. In the second part, critical complicating factors are reviewed, including spectrally selective absorption in the lens, ocular media and macular pigment, and retinal inhomogeneity and rod intrusion. The third part introduces the sensory and perceptual cues underlying judgment of surface colour, including cone contrast and spatial ratios of cone signals, mean chromaticity, surface highlights, chromatic variance, and the role of cognition and memory. The last part deals with the experimental evaluation of surface-colour perception, including colour naming, achromatic adjustment, and asymmetric colour matching, as well as provides an analysis of the limitations of visual judgments with geometric stimuli and images of natural scenes. Benefits:
Intended Audience: This course is intended for scientists, engineers, analysts, and students interested in colour appearance and colour reproduction. No specialist background in biology or psychology is required. David Foster, professor of computational neuroscience in the Faculty of Life Sciences, University of Manchester, received his BSc (1966) and his PhD (1970) in physics from Imperial College London—under the supervision of W.D. Wright and K.H. Ruddock. He also holds a DSc in biophysics (1982) from London University. Foster was appointed lecturer at Imperial College in 1970 and has subsequently held professorships at Keele University, Aston University, UMIST, and Manchester University. His research, concentrating on visual psychophysics and colour vision, has led to the publication of more than 150 papers. Foster is a Fellow of the Institute of Physics, the Institute of Mathematics and its Applications, and the Optical Society of America. He co-founded the journal Spatial Vision in 1984 and is now Advisory Editor. Foster is also Associate Editor of Computers in Biology and Medicine and a member of the Editorial Board of Vision Research, with particular responsibility for colour vision.
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T04 — 2 hour tutorial 19 June 2006, 8:30 - 10:30 am Transforms for Color and Spectral Reproduction Instructor: Dr. Mitchell Rosen, Rochester Institute of Technology | ||||||||||||||||||
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This course is designed to introduce the student to issues and potential solutions surrounding image processing for high-quality colour and spectral reproduction. It will begin with the underlying transforms used in colour processing for traditional colour management and build a foundation for incorporation of spectral aspects in a reproduction. Standard methods for parameterizing colour processing transforms will be covered. The goals of spectral colour management will be explained followed by discussion of how the current colourimetric processing chain can be modified to enable delivery of spectrally specified output. Benefits:
Intended Audience: This course is designed for those who want a picture of the colour processing aspects of colour management as it is currently implemented and who wish to see how spectral colour management might be implemented. Potential students would include scientists, engineers, and managers who are responsible for understanding current and future trends in colour reproduction. Mitchell Rosen, assistant professor with the Munsell Colour Science Laboratory of the Center for Imaging Science at RIT, performs research in the areas of colour management, spectral imaging systems, museum imaging, and eye movement analysis. He teaches graduate courses on colour systems and tutorials on colour management and colour reproduction. Before joining RIT, Rosen spent a decade in the research labs of Polaroid. He is Color Imaging editor of IS&T’s Journal of Imaging Science and Technology and is active in organizing international conferences on spectral imaging. His website is www.cis.rit.edu/rosen and he can be reached at rosen@cis.rit.edu.
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T05 — 2 hour tutorial 19 June 2006, 10:30 am - 12:30 pm A Framework for the Assessment of Image Quality Instructor: Peter Engeldrum, Imcotek Inc. | ||||||||||||||||||
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Image, print, picture, and display quality are often considered “subjective” and in “the eye of the beholder,” with the implication that image quality (IQ) cannot be put on a quantitative footing. Compounding this confusion is the concept that IQ depends on where you view the problem. A process engineer will feel that the process controls IQ. Developers of image processing algorithms feel that image processing is where the action is. Of course, both these and all other imaging related subsystems contribute to image quality. A Framework for the Assessment of Image Quality puts the various pieces together in a unified way; a systems perspective. Using the Image Quality Circle (IQC) as the framework, this tutorial paints the big-picture view of image quality. The IQC is a practical and useful tool used by major imaging hardware consumables manufacturers. Benefits:
Intended Audience: This tutorial is intended for scientists, engineers, product program managers, and students, who have a responsibility for, or an interest in, IQ. No prerequisites are required. Peter Engeldrum, the developer of the IQC, is president of Imcotek, a technical consulting firm that assists organizations in finding solutions to imaging system and image and colour problems. With more than 25 years of experience with imaging and colour systems, he has worked with a variety of imaging and display technologies. Engeldrum has been active in the areas of image and colour quality, colour scanning, colour printing and display, photography, and colour imaging over the Internet. He was a faculty member at the Center for Imaging Science, Rochester Institute of Technology, where he received his degrees. Engeldrum is a member of several professional societies and is an IS&T Fellow. He has also served on several corporate advisory boards and has several patents and patents pending in the areas of display calibration and Internet imaging.
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T06 — 2 hour tutorial 19 June 2006, 10:30 am - 12:30 pm Colour Appearance Modelling Instructor: Prof. Ronnier Luo, University of Leeds | ||||||||||||||||||
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This tutorial covers six areas: techniques for generating experimental data; the structure of CIE 1997 and 2002 colour appearance models (CIECAM97s and CIECAM02); the correlates provided by the model; the visual phenomenon predicted by the model; more recent development for removing some anomalies; and its capability in predicting colour differences. Benefits:
Intended Audience: This course is intended for colour engineers and research scientists involved with colour reproduction, as well as imaging device and computer software developers. Knowledge of fundamental colourimetry is assumed. Ronnier Luo, professor of colour and imaging science in the Department of Colour and Polymer Chemistry, University of Leeds, holds approximately 250 publications in colour and imaging science. Luo is a Fellow of IS&T and the Society of Dyers and Colourists. He was also the recipient of the Centenary Medal from the Society of Dyers and Colourists (2004), the Royal Photographic Society’s Davies Medal (2003), and Bartleson Research Award (1994).
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T07 — 2 hour tutorial 19 June 2006, 10:30 am - 12:30 pm Introduction to Multispectral Colour Imaging Instructor: Prof. Jon Hardeberg, Gjøvik University College | ||||||||||||||||||
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Conventional colour imaging science and technology is based on the paradigm that three variables are sufficient to characterize a colour. However, in particular due to the effect of metamerism, three colour channels are often insufficient for high-quality imaging e.g., for museums and digital archives. In this course we introduce the concept of multispectral colour imaging and show how increasing the number of colour channels beyond three can resolve limitations of conventional image capture and reproduction systems. Several practical systems for multispectral colour image capture and reproduction will be described, along with their strengths and weaknesses. We will discuss the calibration and characterization of multispectral colour imaging systems, and briefly introduce some of the current research topics in the field. Benefits:
Intended Audience: This course will be of interest to a wide audience; image scientists, archivists, quality engineers, and others charged with choosing, developing, and managing imaging systems that may require multispectral colour image capture and reproduction. It will be particularly beneficial to take this course in connection T03: Transforms for Colour and Spectral Reproduction. Jon Y. Hardeberg is a professor of colour imaging at Gjøvik University College in Norway, where he leads the Norwegian Colour Research Laboratory. In addition to teaching courses in colour imaging and media representation, Hardeberg is does research on various topics of related to colour imaging, such as device characterization, gamut visualization and mapping, image quality, and multispectral image acquisition and reproduction. His book, Acquisition and Reproduction of Colour Images: Colourimetric and Multispectral Approaches, is considered a reference title in the area of multispectral colour imaging.
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