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IS&T Home The Conference |
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| In cooperation with: | |
| ISCC | Inter-Society Color Council |
| ISJ | The Imaging Society of Japan |
| RPS | The Royal Photographic Society of Great Britain |
| SMPTE | Society of Motion Picture and Television Engineers |
| SPSTJ | Society of Photographic Science and Technology of Japan |
Tutorials
4 FOR THE PRICE OF 3 |
Take advantage of our special offer!
Take any three two-hour tutorials and get the fouth free! To do so, you must register via fax using
the PDF registration form |
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Practical Applications of Measurement Systems in Color Engineering Instructor: Danny Rich, Sun Chemical Corp., and David R. Wyble, Rochester Institute of Technology Tuesday November 6, 2007, 8:00 am to 5:50 pm Product Code: CIC Special One-Day Tutorial | ||||||||||||||||||
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The engineering of color imaging systems requires both the fundamental and practical understanding of color measurement systems. When the goal of an engineering design is to optimize color reproduction, the results can only be as good as the input color measurements on which the optimization is based. This tutorial starts with a foundation of color measurement theory. From this beginning, various applications are covered, each including the instrument setup and associated measurement implications. The tutorial closes with a hands-on demonstration of several modern instruments with the focus on measurements that facilitate device profiling.
Benefits:
Intended Audience: color engineers and technologists responsible for making and interpreting color measurements of all types, especially those in color image reproduction and those who must create device profiles that produce the highest level of predictability in the communication and reproduction of colored images. An engineering background is not required, although an understanding of basic scientific principles will be very helpful. Danny C. Rich has a BS and MS in optical physics and a PhD in color science from the Rensselaer Color Measurement Laboratory, under the direction of the late Fred W. Billmeyer, Jr. He has been published on all aspects of color science and technology and is active in color measurement standards organizations such as ASTM E12 on Color & Appearance, ISO TC130 on Graphic Arts, and in CIE Division 2 onMeasurement of Optical Radiations. Rich is currently head of the Color Research Laboratory at the Sun Chemical Corp., the world’s largest producer of printing inks. David R. Wyble is a color scientist within the Munsell Color Science Laboratory at the Rochester Institute of Technology. He holds a BS in Computer Science and a MS in Color Science from RIT. Wyble currently teaches graduate color measurement at MCSL, and has taught various computational and imaging courses for the last decade at RIT. He has been published in the areas of device characterization and color instrumentation. Wyble is active in the Inter-Society Color Council and the Council of Optical Radiation Measurements.
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Image Quality Assessment Using Ranks: A Hands-on Experience Instructor: J. A. Stephen Viggiano, Rochester Institute of Technology (RIT) Tuesday November 6, 2007, 10:20 am–12:20 pm Product Code: T1A | ||||||||||||||||||
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Learn how to use human observations to assess image quality and get hands-on experience doing it. After a brief introduction/review of psychometric image quality assessment, the modern analysis method of rank order experiments is introduced. A hands-on experience is the focus of the tutorial and a rank order image quality experiment is conducted and analyzed using ordinary spreadsheet software. Error bars are computed and multiple range tests run, so that the stimuli may be placed into groups not statistically significantly different from each other.
Benefits:
Intended Audience: The tutorial assumes no prior experience with psychometric-based image quality assessment, so those new to psychometrics can expect to understand the material; all that’s assumed is a passing familiarity (perhaps from a previous life) of basic statistics. However, because the focus is on the hands-on activities and the review is relatively brief, even those familiar with psychometrics who wish to bring their knowledge up to date are encouraged to attend. If you’re using paired comparison and want to learn a faster andmore efficient way, or if you’ve tried rank order in the past, but are unfamiliar with modern analysis techniques or had been wary of unreasonable assumptions (which are avoided in this modern analysis protocol), you should attend this tutorial. Scientific, engineering, and marketing personnel with technical background will all benefit from this hands-on experience. J. A. Stephen Viggiano is Principal and Founder of Acolyte Color Research, a consulting and research firm specializing in solutions to problems in color science and technology. He is also a PhD candidate at RIT’s Center for Imaging Science, with a concentration in Color Science. Between 1991 and 2001, Viggiano was a member of the faculty of RIT’s College of Imaging Arts and Sciences. Until 2001, he was also employed by RIT Research Corporation, where he had risen to the position of Principal Imaging Scientist. Viggiano has taught this workshop as a part of some of his graduate-level courses at RIT, as well as for corporate and government clients.
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Spatio-chromatic Vision Models for Imaging Instructor: Jan Allebach, Purdue University Tuesday November 6, 2007, 1:30–3:30 pm Product Code: T1B | ||||||||||||||||||
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This course describes the context, structure, and applications of spatio-chromatic vision models for imaging. After a brief review of the important characteristics of the visual system and the basic concepts of color science, a general framework for spatio-chromatic vision models based on trichromacy, color opponency, and the limited spatial frequency response of the vision system is developed. Next applications of these models to color image quantization and digital color halftoning are discussed. During the last part of the course, a more complex group of models that account for the multi-channel nature of the visual system, the dependence of percept on contrast, and the role of the psychometric function in describing detection and discrimination is introduced. Finally, potential applications of these models to image quality assessment are discussed.
Benefits:
Intended Audience: scientists, engineers, analysts, and managers involved in the design, engineering, manufacturing, marketing, or evaluation of imaging products, algorithms, or systems. Participants should be familiar with the function and basic properties of color imaging systems. A rudimentary knowledge of color science, linear systems, and image processing would be helpful, but is not essential. Jan P. Allebach received his BSEE from the University of Delaware (1972) and PhD from Princeton University (1976). He was on the faculty at the University of Delaware (1976 to 1983) and since then has been at Purdue University where he is Michael J. and Katherine R. Birck Professor of Electrical and Computer Engineering. His current research interests include image rendering, image quality, color imaging, and digital publishing. Allebach is a Fellow of the IEEE, IS&T, and SPIE. He has served as Distinguished/Visiting Lecturer, an officer, and on the Board of Directors for the IEEE Signal Processing Society and IS&T. He is a past Associate Editor for IEEE Transactions on Signal Processing and IEEE Transactions on Image Processing, and is presently editor of the Journal of Electronic Imaging. He has received the Senior (best paper) Award from the IEEE Signal Processing Society, the Bowman Award from IS&T, and was named 2004 Electronic Imaging Scientist of the Year. In 2007, he was named IS&T Honorary Member, IS&T’s highest award. Allebach has also received four teaching awards at Purdue University.
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Image Appearance Instructor: Mark Fairchild, RIT Tuesday November 6, 2007, 3:50–5:50 pm Product Code: T1C | ||||||||||||||||||
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This tutorial provides an introduction to image appearance specification and modeling as well as describing some fundamental phenomena and techniques. Concepts for extending current color appearance models such as CIECAM02 into image appearance models dealing with complex spatial and temporal interactions are discussed, including an introduction of one image appearance framework called iCAM. Digital imaging systems can benefit from accurate and efficient image appearance models to allow rendering of image data on various displays and the specification of image differences and quality.
Benefits:
Intended Audience: scientists and engineers involved in either designing or working with systems that produce or reproduce images/video in various media and/or are observed under varying viewing conditions. Knowledge of the fundamentals of colorimetry and color appearance is assumed. Mark D. Fairchild, professor of Color Science and director of the Munsell Color Science Laboratory in the Chester F. Carlson Center for Imaging Science at the Rochester Institute of Technology (RIT), received his BS and MS in Imaging Science from RIT and PhD in Vision Science from the University of Rochester. He was chair of CIE Technical Committee 1-34 on color appearance models and is currently a member several other CIE technical committees dealing with color appearance and image technology issues. Fairchild was presented with the 1995 Bartleson Award by the Colour Group (Great Britain) and the 2002 Macbeth Award by the Inter-Society Color Council for his research work in color appearance and other areas of color science. He is author of the book, Color Appearance Models, 2nd Ed., that serves as a reference to the fundamentals of color appearance and the formulation of specific models. He served as Color Imaging Editor for the Journal of Imaging Science and Technology for three years and was named a Fellow of IS&T in 2003 for his contributions to digital color imaging.
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The Digital Camera Image Processing Pipeline: From Sensor to Picture Instructor: Matthew Whalen, Applied Color Science, Inc. Tuesday November 6, 2007, 8:00 – 10:00 am Product Code: T2A | ||||||||||||||||||
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This tutorial describes the image processing elements (Bayer De-mosaic, Color Matrix, Exposure Control, Gamma, White Balance, Sharpening, etc.) in a digital camera that transform raw pixel output from an image sensor into full color video or still images. The course also explains the function of each processing elements and discusses various implementations and tradeoffs for each with examples.
Benefits:
Intended Audience: digital camera designers, imaging engineers, and managers involved or interested in developing or improving an image processing pipeline. Matthew Whalen, founder and chief imaging scientist for Applied Color Science, Inc. (www. appliedcolorscience.com), has been actively involved in CMOS image sensor applications and digital image processing for more than ten years. Whalen’s work in image sensor evaluation and image processing development has ranged from consumer products (AT&T Videophone, SiliconFilm’s eFilm cartridge) to medical (Smith and Nephew HD endoscopy camera) to professional (RED digital cinema camera). Whalen has held senior technical positions with Lucent/ Bell Labs, Conexant, and SiliconFilm Technologies. He currently holds more than ten patents in the areas of lightwave and digital camera technology and has published numerous technical articles and conference papers in these areas. Whalen has a BS and MS in Physics from Rutgers University and is a member IS&T.
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Electro-photographic Printing Technology Instructor: Fumio Nakaya, Fuji Xerox Company, Ltd. Tuesday November 6, 2007, 10:20 am–12:20 pm Product Code: T2B | ||||||||||||||||||
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The course contains a brief summary of electro-photographic printing technology followed by a description of its applications, consumer materials, and image quality design. Various types of electro-photographic printing process and corresponding subsystems are explained in detail. The topics in image quality design are optimum microscopic image structure, how to evaluate image quality, and what optimum color reproduction would be. Printer color characterization method are described with corresponding industrial standards. The course is designed for students and engineers in printing technology and development, and in color image quality design and evaluation.
Benefits:
Intended Audience: printer development engineers, color image quality designers, and consumer materials development engineers Fumio Nakaya received a BS in Mechanical Engineering from Keio University (1976). Since then, he has worked in research and development at Fuji Xerox Co., Ltd. and has 30 years of working experience in electro-photographic printing, including chief engineer of corporate image-quality design team. His work has primarily focused on electrophotographic process simulation, image quality design, and color management. He is a member of IS&T, CIE, ISO, IEC, and ICC.
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Optimizing Color for Display Instructor: Gabriel Marcu, Apple Computer, Inc. Tuesday November 6, 2007, 3:50–5:50 pm Product Code: T2C | ||||||||||||||||||
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This tutorial introduces color optimization techniques for various display types, covering LCD (transmissive, reflective and transflective), plasma, OLED, and projection systems (DLP, LCD, LcoS) and ranging from mobile devices to large LCD TV screens. Factors such as technology, luminance level, dynamic/static contrast ratio, gamma correction, color gamut, viewing angle, white point, gray tracking, response time, color model, calibration, characterization are discussed and color optimization methods for displays are presented.
Benefits:
Intended Audience: engineers, scientists, managers, pre-press professionals, and others confronting display related color issues. Gabriel Marcu is Senior Scientist in ColorSync group, at Apple Computer. His achievements are in color reproduction on displays and desktop printing (characterization/calibration, halftoning, gamut mapping, ICC profiling, HDR imaging, RAW color conversion). Marcu is responsible for color calibration and characterization of Apple display and for RAW color for digital camera in MacOS X. He has taught seminars and short courses on color topics for UC at Berkeley, IMI London (UK), and various IS&T, SPIE, and SID conferences. He was co-chair of the SPIE/IS&T Electronic Imaging Symposium in San Jose; the IS&T/SID Color Imaging Conference in Scottsdale; and EI Color Imaging: Processing, Hardcopy, and Applications. He is a SPIE Fellow.
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Color in High Dynamic Range Imaging Instructor: Greg Ward, Anyhere Software Tuesday November 6, 2007, 8:00–10:00 am Product Code: T3A | ||||||||||||||||||
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The instructor describes the techniques and technologies behind high dynamic range (HDR) imaging, covering methods for HDR capture, representation, editing, and display. The tutorial features live demonstrations of HDR image capture using a standard digital camera, and image-based lighting techniques for rendering synthetic objects into a real environment. The instructor also addresses tone- and gamut-mapping issues for low dynamic range (LDR) output and printing.
Benefits:
Intended Audience: color scientists, software and hardware engineers, photographers, cinematographers, production specialists, and students interested in the means and rewards of extending the dynamic range of their pipeline. By taking the audience from the basics of HDR to more advanced techniques such as image-based lighting, we hope to convey the simplicity and power of this exciting new trend in digital imaging. Greg Ward is a leader in the HDR space, having developed the first widely-used HDR image file format in 1986 as part of the RADIANCE lighting simulation system. Since then, he has developed the LogLuv TIFF HDR image format, the JPEG-HDR format, and authored the application Photosphere, an HDR image builder and browsing program. More recently, he has been involved with Dolby Canada’s HDR display developments, which employ dual modulators to show colors 30 times as bright and ten times as dark as conventional monitors. Working in the computer graphics research community for more than 20 years, Ward has developed rendering algorithms, reflectance models and measurement systems, tone reproduction operators, HDR image processing techniques, and photo printer calibration methods. His past employers include the Lawrence Berkeley National Laboratory, EPFL Switzerland, SGI, Shutterfly, and Exponent. Ward holds a BS in Physics from UC Berkeley and MS in Computer Science from San Francisco State University. He is currently working as a consultant in Albany, California (www.anyhere.com).
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Wide Gamut Imaging Instructor: Charles Poynton, consultant Tuesday November 6, 2007, 10:20 am–12:20 pm Product Code: T3B | ||||||||||||||||||
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The color gamut of digital imaging systems, in both the professional and consumer domains, has historically been limited by CRT technology and by the Rec. 709 and sRGB standards. Emergent display technologies (such as LED-backlit LCDs and laser- and LED-illuminated DLPs) are poised to enable wide-gamut color, and D-SLR cameras are already capable of wide-gamut capture. This seminar outlines the technological developments in capture, processing, and display technology that are leading to wide gamut color. Various wide-gamut encoding systems such as Adobe RGB, DCI P3 RGB, X'Y'Z', xvYCC, and wcsRGB are describe in detail.
Benefits:
Intended Audience: appropriate for technical professionals who are experienced in the engineering of color imaging systems. Many graphs, equations, and diagrams will be presented. Charles Poynton is an independent contractor specializing in the physics, mathematics, and engineering of digital color imaging systems, including digital still cameras, digital video, HDTV, and digital cinema (D-cinema). He does technology forecasting, systems modeling, algorithm development (including digital filter design), video signal processing architecture, color characterization and calibration, and image quality assessment. He is involved in engineering wide color gamut (wide colour gamut) systems, including xvYCC.
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Spectral Imaging Instructor: Roy Berns and Mitchell Rosen, RIT Tuesday November 6, 2007, 1:30–3:30 pm Product Code: T3C | ||||||||||||||||||
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Conventional trichromatic imaging (i.e., RGB) can have a wide range of colorimetric accuracy and is always constrained by metamerism. For color-critical, scientific, and archival applications, trichromatic imaging is often insufficient. Spectral imaging alleviates these limitations. This tutorial is an overview of spectral-imaging and reproduction techniques. Applications for quality-critical color reproduction (i.e., spectral color reproduction) and scientificbased digital archives are explored.
Benefits:
Intended Audience: those wishing to become more familiar with the opportunities and challenges within the emerging field of spectral color reproduction, which may include color and imaging scientists, camera and printer designers, and image processing specialists. Roy S. Berns is the R. S. Hunter Professor of Color Science, Appearance, and Technology at the Munsell Color Science Laboratory, and graduate coordinator of the Color Science Master’s program within the Center for Imaging Science at Rochester Institute of Technology (RIT). He directs a research group that has been active in spectral imaging and spectral color reproduction for nearly a decade. The group has designed spectral imaging systems for the National Gallery of Art in Washington and the Museum of Modern Art in New York. He has also collaborated with the Art Institute of Chicago and the Van Gogh Museum in using spectral-imaging concepts for “digital rejuvenation” of cultural heritage. Berns, the author of Billmeyer and Saltzman’s Principles of Color Technology, 3rd edition, is an IS&T Fellow. Mitchell R. Rosen is a Research Professor with the Munsell Color Science Laboratory at Rochester Institute of Technology (RIT). His recent projects have spanned subjects such as spectral and colorimetric color reproduction, color management, immersive dynamic media, digital cinema and on-demand print quality. He is Color Imaging editor of the Journal of Imaging Science and Technology and is active in organizing international conferences on spectral imaging. Rosen co-edited the book Color Desktop Printer Technology.
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Vectorial Color Instructor: James Worthey, consultant Tuesday November 6, 2007, 3:50–5:50 pm Product Code: T3D | ||||||||||||||||||
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Use of color vectors can demystify camera sensors, lighting, and other topics, but new color matching functions (CMFs) are needed. Orthonormal opponent CMFs map lights into Jozef Cohen’s logical color space and establish intuitive axes: whiteness, red-green, and blue-yellow. Color mixing is summarized by an invariant curve in 3D, the locus of unit monochromats (LUM). If a camera’s LUM matches the eyes, it meets Luther’s criterion. Worthey presented details at CIC 12 and 14. This tutorial emphasizes the practical use of color vectors and the orthonormal CMFs. If you are planning to bring a computer, please install a VRML viewer prior to attending the course. For background and more information, see www.jimworthey.com.
Benefits:
Intended Audience: scientists and engineers who design or apply camera systems or lights. While certain applications will be stressed, the vectorial approach applies to all color work. For example, multi-primary systems and image compression are natural applications. James Worthey received a BS in EE, an MS in Physics, and a PhD in Physiological Optics from Indiana University. He researched lighting and color at the National Institute of Standards and Technology and published several applications of opponent colors. A breakthrough came in 2003 when he combined opponent colors with Cohen’s ideas and computer graphics.
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Color Management in Apple ColorSync Instructor: Luke Wallis, Apple Computer, Inc. Tuesday November 6, 2007, 8:00–10:00 am Product Code: T4A | ||||||||||||||||||
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This tutorial gives an overview of ColorSync, which is the foundation block of Color Management in Mac OS X. The course describes the architecture of color management in the system, along with the principles of using ColorSync, then addresses details related to acquiring color data from input color devices like cameras and scanners, and managing color data for display, printing, and storing. The tutorial also demonstrates how to automate a color management workflow in Mac OS X.
Benefits:
Intended Audience: engineers, scientists, project managers, pre-press professionals, and others confronting color management issues. Luke Wallis is a Senior Scientist in ColorSync group at Apple Computer. His responsibilities include color color management in Mac OS X and ColorSync framework.
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Color Management Concepts for Digital Imaging Systems Instructor: Kevin Spaulding, Eastman Kodak Company Tuesday November 6, 2007, 10:20 am–12:20 pm Product Code: T4B | ||||||||||||||||||
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Color management technology enables predictable and desirable color reproduction to be achieved in digital imaging systems. This tutorial will discuss color managementconcepts in the context of an image state architecture that has been developed to describe the relationship between various types of digital images, image capture and display devices, image processing workflows, and digital color encodings. Color management will be presented as five connected classes of operations including input, rendering, unrendering, effects, and output. The characteristics and properties of color management transforms used for each of these basic operations will be described together with a discussion of how these transforms can be implemented in the framework of the ICC Color Management System.
Benefits:
Intended Audience: scientists, engineers, analysts, and managers involved in the design, engineering, manufacturing, marketing, or evaluation of digital imaging systems. Kevin Spaulding received a BS in Imaging Science from Rochester Institute of Technology (1983), and MS and PhD degrees in Optical Engineering from the University of Rochester (1988 and 1992). He has been with Eastman Kodak Company since 1983 where he is currently a Senior Principal Scientist in the Inkjet Systems Division. Spaulding serves on several international standards committees that are working on the standards pertaining to the unambiguous communication of digital color image data in digital imaging systems. His research interests include color reproduction, digital halftoning, image processing algorithms for digital camera and printers, and image quality metrics.
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The Art and Science of Creating ICC Profiles for Input, Output and Display Devices Instructor: Franz Herbert, Integrated Color Solutions, Inc. Tuesday November 6, 2007, 1:30–5:30 pm Product Code: T4C | ||||||||||||||||||
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This course describes how to successfully create ICC profiles as a combination of applying sound science and understanding the many issues that occur with different devices. It highlights why numerics, as well as process control, are major factors in color management. The differences between device calibration and profiling are addressed. Measurement instruments are analyzed and compared, and the impact of optical brighteners in paper on spectrometry reviewed. In a hands on experience we create profiles for a variety of devices, starting with a digital camera and ending with comparing a proof to a monitor/projector simulation of that proof.
Benefits:
Intended Audience: engineers and scientists who have the need to either create, modify, or use ICC profiles. Attendees will benefit from familiarity with basic color science and color management. Franz Herbert has been developing award-winning software for more than 20 years. In 1994, he introduced the world’s first complete color management system, ColorBlind®, to the market place. He is currently VP Research & Development at Integrated Color Solutions, Inc. (ICS), where his latest product, Remote Director™, has redefined how the printing industry does proofing. Herbert holds three patents related to soft proofing technology and color control.
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