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Tutorial Program
The goal of the tutorial program is two-fold:
- to offer a basic education in color imaging for those new to the field;
- to keep attendees abreast of the latest developments and applications.
To serve the first goal, we plan to offer a 2-day course taught by the renowned Dr. Robert Hunt, providing an extensive overview of basic color science and imaging. This course has been tremendously successfuly at past CIC meetings. To serve the second objective, a variety of advanced tutorials will be offered in the areas of color vision, appearance, image quality, color imaging technologies, applications, and systems. Details will be forthcoming.
Fees will include a discount for IS&T and SID members, and a substantial discount for students. If you would like more information about the tutorials, or would like to suggest a topic of interest to you, please contact the tutorial chairs: Joann Taylor (joannt@telephort.com) and Gaurav Sharma (gsharma@ece.rochester.edu).
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Reminder: We reserve the right to cancel classes in the event of insufficient advance registrations. Indicate your interest early. Pre-requisites, if required, are noted in the description for each course.
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HUNT — 16 hour tutorial
November 7 & 8, 2005
, 8:30 am to 5:00 pm
Basic Color Science and Imaging
Instructor: Dr. Robert W. G. Hunt
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This comprehensive two-day course will cover the principles of color perception, measurement, and reproduction, as applied to photography, television, printing, desk-top publishing, and electronic imaging. Each day will be comprised of six one-hour lectures with discussion.
Prerequisites: a minimum of one year of college chemistry, physics, and math is recommended and some experience with color systems is helpful, but not mandatory.
Benefits:
Upon completion attendees will be able to: - describe normal color vision in terms of system components and their functions, trichromacy, adaptation, and luminance
- discuss light sources including incandescent and fluorescent lamps, daylight, color temperature, and standard illuminants
- understand the principles of spectrophotometry, including the geometry of illumination, and viewing and dealing with fluorescent samples
- explain the experimental basis of colorimetry the reason why some colors cannot be matched by RGB additive mixtures
- explain primaries, chromaticity, the effects of changing primaries, and color matching functions
- describe the CIE system of colorimetry, including the XYZ, u’, v’, CIELUV, and CIELAB systems, and understand the concepts of whiteness, advanced color difference formulae, observer and illuminant metamerism indices, color inconstancy index, chromatic adaptation transform, and color appearance models
- describe color reproduction in terms of both additive and subtractive trichromatic principles and become familiar with television display devices and color film and its processing
- learn about densitometry and describe the factors affecting tone reproduction
- understand the principles involved in broadcast television and digital cameras
- discuss the application of color science to lithographic printing
- appreciate what factors affect quality in digital imaging and desk-top publishing
- understand the essential requisites of successful color imaging
Intended Audience:
Robert Hunt worked for 36 years at the Kodak Research Laboratories in Harrow, England, taking early retirement as Assistant Director of Research in 1982. Since then he has been working as an independent color consultant. He has had two books published: The Reproduction of Colour, now in its sixth edition, and Measuring Colour, now in its thir-d. He has attended all the previous Color Imaging Conferences in Scottsdale and is a regular contributor of keynote papers.
| Prices |
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until October 5 |
after October 5 |
| Member |
$ 650.00 |
$ 700.00 |
| Student Member |
$ 540.00 |
$ 590.00 |
| Non-Member |
$ 825.00 |
$ 875.00 |
| Student Non-Member |
$ 650.00 |
$ 700.00 |
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T1A — 2 hour tutorial
Tuesday November 8, 2005
, 8:00 to 10:00 am
T1A–Color Appearance Modeling using CIECAM02
Instructor: Nathan Moroney, Hewlett-Packard Co.
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This course begins with a review of color appearance phenomena and the basics of color appearance modeling, including chromatic adaptation, color attribute correlates, and other topics. The course then focuses specifically on the CIECAM02 color appearance model and its applications. Publicly available software and tools will be used to demonstrate and explore the model. Specific applications such as gamut rendering and quantification, gamut mapping, device characterization, and interpolation will be considered, as will model parameters and configuration. Finally advantages and trade-offs of using the model will be considered.
Benefits:
This course will enable the attendee to: - Understand the basic components of a color appearance model
- Acquire working familiarity with the CIECAM02 color appearance model
- Gain hands-on experience configuring the model for given viewing conditions
- Apply CIECAM02 to specific imaging applications
- Leverage existing tools to immediately implement CIECAM02
- Make informed decisions about the use and application of color appearance models
Intended Audience:
Broadly applicable to those researchers and developers working in the area of color appearance and color reproduction, the course will include examples and discussion based on an open source implementation of CIECAM02 so attendees with some software knowledge will be able to make immediate use of the topics covered. An emphasis of this course is solving specific problems with CIECAM02. Attendees will benefit from previous familiarity with colorimetry and the basics of color science.
Nathan Moroney is a color expert at Hewlett-Packard Laboratories. He holds a BS in Color Science from Philadelphia University and an MS in Color Science from the Munsell Color Science Laboratory of the Rochester nstitute of Technology. He was the chair of CIE technical committee 8-01, which developed the CIECAM02 model. Moroney has published papers, been granted patents, and given invited presentations on color appearance modeling, compression, halftoning, image enhancement, and a range of other research areas. He is a member of the IS&T and ISCC.
| Prices |
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until October 5 |
after October 5 |
| Member |
$ 150.00 |
$ 180.00 |
| Student Member |
$ 150.00 |
$ 180.00 |
| Non-Member |
$ 195.00 |
$ 225.00 |
| Student Non-Member |
$ 195.00 |
$ 225.00 |
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T1B — 2 hour tutorial
Tuesday November 8, 2005
, 10:20 am to 12:20 pm
T1B–Spatio-chromatic Vision Models for Imaging
Instructor: Jan Allebach, Purdue University
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This course describes the context, structure, and applications of spatio-chromatic vision models for imaging. The important characteristics of the visual system and the basic concepts of color science will be reviewed, followed by the development of a general framework for spatio-chromatic vision models based on trichromacy, color opponency, and the limited spatial frequency response of the vision system. Applications of these models to color image quantization and digital color halftoning will be discussed. After this, a more complex group of models will be introduced that account for the multi-channel nature of the visual system, the dependence of perception on contrast, and the role of the psychometric function in describing detection and discrimination. The course concludes with a discussion of potential applications of these models to image quality assessment.
Benefits:
This course will enable the attendee to: - Understand the fundamental spatiochromatic aspects of the visual system and how they can be captured in models
- Appreciate how spatio-chromatic models for the human visual system can be used in the development of color image quantization and halftoning algorithms, as well as for image quality assessment
- Comprehend more complex models that incorporate the multi-channel nature of the human visual system, as well as contrast and psychometrics
- Understand ways in which developed models can be applied to image quality assessment
Intended Audience:
Intended for 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 is helpful, but not essential.
Jan P. Allebach received his BSEE from the University of Delaware (1972) and his PhD from Princeton University (1976). He was on the faculty at the University of Delaware from 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 color measurement, and digital publishing. Allebach is a Fellow of the IEEE Signal Processing Society and IS&T. He has served as Distinguished/Visiting Lecturer for both societies, and has been an officer and served on the Board of Directors of both as well. He is a past Associate Editor for the IEEE Transactions on Signal Processing and the IEEE Transactions on Image Processing. Allebach is presently Editor for the IS&T/SPIE Journal of Electronic Imaging (JEI). He received the Senior (best paper) Award from the IEEE Signal Processing Society and the Bowman Award from IS&T. In 2004, he was named Electronic Imaging Scientist of the Year by IS&T and SPIE. He has received four teaching awards at Purdue University.
| Prices |
|
until October 5 |
after October 5 |
| Member |
$ 150.00 |
$ 180.00 |
| Student Member |
$ 150.00 |
$ 180.00 |
| Non-Member |
$ 195.00 |
$ 225.00 |
| Student Non-Member |
$ 195.00 |
$ 225.00 |
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T1C/D — 4 hour tutorial
Tuesday November 8, 2005
, 1:30 to 5:50 pm
T1C/D–Image Quality: Framework and Quantification
Instructor: Peter G. Engeldrum, Imcotek Inc.
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Image Quality: Framework and Quantification puts the various image quality elements together in a unified way; the systems perspective. Using the Image Quality Circle (IQC) as the framework, this tutorial focuses on the big-picture view of image quality. This framework spans the breadth of the product development organization from determining customer requirements—market research—to selecting the technology variables that will deliver the required image quality. Concepts and tools for quantifying customers and images and integrating these results are described.
Benefits:
This course will enable the attendee to: - Understand concept of image/print and use the Image Quality Circle as a process for managing and developing the image/print quality of imaging and consumable products
- Understand image quality and how its many facets can be unified
- Recognize visual perceptual attributes–the “nesses”
- Understand basic human response quantification-psychometric scaling
- Know the essential properties of the human visual system and the principles of connecting image measurement to visual percepts
- Construct simple image quality models
- Identify basic hardware requirements for image measurements
Intended Audience:
Intended for scientists, engineers, product program managers, and students, who have a responsibility for, or an interest in, image quality (IQ), no prerequisites are required.
Peter Engeldrum is the developer of the Image Quality Circle (IQC). He is president of Imcotek, a technical consulting firm that assists organizations to find solutions to imaging system and image and color problems. With more than 25 years of experience in imaging and color systems, he has worked with a variety of imaging and display technologies. Engeldrum has been active in the areas of image and color quality, color scanning, color printing, photography, and color 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.
| Prices |
|
until October 5 |
after October 5 |
| Member |
$ 200.00 |
$ 250.00 |
| Student Member |
$ 200.00 |
$ 250.00 |
| Non-Member |
$ 250.00 |
$ 280.00 |
| Student Non-Member |
$ 250.00 |
$ 200.00 |
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T2A/B — 4 hour tutorial
Tuesday November 8, 2005
, 8:00 am to 12:20 pm
T2A/B–System Interactions in Digital Color Imaging
Instructor: Raja Bala, Xerox Corporation, and Gaurav Sharma, University of Rochester
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This course underscores the system aspect of color imaging by providing insight into the common interactions among different functions within a digital imaging system. It begins with a brief overview of the basic color processing functions, including color halftoning, device calibration, characterization, gamut-mapping, quantization, and compression. The tutorial then highlights common system interactions among these functions and illustrates, through specific case studies, how knowledge of these interactions may be beneficially exploited for improving overall system performance and/or image quality. Case studies discussed in the tutorial will include—among others—interactions between input and output device characterization transforms, color and spatial dimensions of perception, device characterization and media, halftoning and color characterization, and quantization and halftoning.
Benefits:
This course will enable the attendee to: - List basic processing functions in a digital color imaging system and schematically represent a system from input to output
- Describe unintended interactions between input and output characterization profiles and ways to mitigate these
- Comprehend and exploit the interactions between color and spatial dimensions in optimizing a color imaging system
- Explain how media characteristics influence the performance of color imaging devices
- Understand the interactions between halftones and color in output devices and some techniques for co-optimization of these
- Appreciate how system design and optimization can surmount problems that are not resolvable in individual components
Intended Audience:
Intended for engineers, scientists, students, and managers interested in acquiring a broad system-wide view of digital color imaging systems, practitioners and experts who are familiar with specific components also stand to gain a better perspective for the remainder of the system. Presented case studies on system optimization will be of interest to technologists looking for ways to improve their digital color imaging systems and will, hopefully, serve as inspiration for additional research in this area. Attendees are expected to be familiar with basic image processing and colorimetry.
Raja Bala, principal scientist at Xerox’s Imaging and Services Technology Center, performs research and development in color imaging. He is also an adjunct faculty member in the School of Electrical Engineering at Rochester Institute of Technology. He received a PhD from Purdue University in Electrical Engineering (1992). His research interests include color science and imaging, color management, and color image processing. Bala holds more than 40 publications and more than 30 patents in the field of color imaging. He is a member of IS&T.Gaurav Sharma, associate professor in the Electrical and Computer Engineering Department, has taught at the University of Rochester since Fall 2003, prior to which he was a principal scientist and project leader in the Xerox Innovation Group. Sharma received his PhD in Electrical and Computer Engineering from North Carolina State University. He holds masters degrees in Applied Mathematics from NCSU and in Electrical Communication Engineering from the Indian Institute of Science, Bangalore, India and a bachelor of engineering degree in Electronics and Communication Engineering from Indian Institute of Technology, Roorkee. His research interests include color science and imaging, image restoration, and print and multimedia security. He currently serves as an associate editor for IEEE Transactions on Image Processing, IEEE Transactions on Information Forensics and Security, and the IS&T/SPIE Journal for Electronic Imaging. He is the editor of “Digital Color Imaging Handbook” published by CRC Press (2003)
| Prices |
|
until October 5 |
after October 5 |
| Member |
$ 200.00 |
$ 230.00 |
| Student Member |
$ 200.00 |
$ 250.00 |
| Non-Member |
$ 250.00 |
$ 280.00 |
| Student Non-Member |
$ 250.00 |
$ 200.00 |
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T2C — 2 hour tutorial
Tuesday November 8, 2005
, 1:30 to 3:30 pm
T2C - Color Management Concepts for Digital Imaging Systems
Instructor: Kevin Spaulding, Eastman Kodak Co.
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Color management technology enables predictable and desirable color reproduction to be achieved in digital imaging systems. This tutorial discusses color management concepts 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:
This course will enable the attendee to: - Describe common digital imaging workflows within the context of an image state architecture model
- Understand the characteristics and uses of commonly encountered color encodings (e.g., sRGB, sYCC, ICC PCS, RIMM/ROMM RGB, etc.)
- Distinguish between different types of color management transformations used in digital imaging systems
- Understand the relationship between color management systems and the image state architecture model
Intended Audience:
This course is intended for scientists, engineers, analysts, and managers involved in the design, engineering, manufacturing, marketing, or evaluation of digital imaging and color management systems.
Kevin Spaulding received a BS in Imaging Science from Rochester Institute of Technology (1983) and MS and PhD in Optical Engineering from the University of Rochester (1988 and 1992, respectively). He has been with Eastman Kodak Co. since 1983 where he is currently a senior principal scientist in the Imaging Science Division. He serves on several international standards committees that are working on 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.
| Prices |
|
until October 5 |
after October 5 |
| Member |
$ 150.00 |
$ 180.00 |
| Student Member |
$ 150.00 |
$ 180.00 |
| Non-Member |
$ 195.00 |
$ 225.00 |
| Student Non-Member |
$ 195.00 |
$ 225.00 |
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T2D — 2 hour tutorial
Tuesday November 8, 2005
, 3:50 to 5:50 pm
T2D–Implementing, Testing, and Using ICC v4 Color Management
Instructor: Ingeborg Tastl and Jack Holm, Hewlett-Packard Co.
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In 2002, the International Color Consortium (ICC) published ICC.1:2001-12, a specification for version 4 color profiles, and made it available over the Web (www. color.org). This specification addresses a number of ambiguities and interoperability issues that previously caused difficulties in the use of ICC color management. Several companies support v4 profiles in applications, drivers, and operating systems, and software is becoming available to generate customized ICC v4 profiles. This tutorial will discuss the major conceptual, implementation, and use differences between ICC v2 and v4. Furthermore, it will elaborate on different ways to evaluate the functional correctness of ICC profiles and workflows, as well as quality.
Benefits:
This course will enable the attendee to: - Understand the differences between ICC v2 and the new ICC v4 color management framework, and learn what they can expect from color management moving forward
- Generate, analyze, test, and use ICC v4 profiles containing colorimetric and perceptual rendering intents for input and output devices
- Select the most appropriate and robust color management workflow for particular groups of users (professional and consumer) and particular tasks
- Make decisions based on advanced understanding of color management at a systems level
Intended Audience:
Intended for application developers, imaging workflow designers, system architects, color engineers and scientists, and anyone in the professional imaging community (professional photographers, graphic designers, etc.) interested in the latest developments of ICC color management, participants should be familiar with the basic principles of color management.
Ingeborg Tastl has been a color scientist working in the area of digital color imaging and printing at Hewlett-Packard Laboratories since 2001. She is also represents HP within the ICC, playing an active role in the development of ICC color management. Before joining HP, Tastl’s focused on digital photography, while working at Sony’s US Research Laboratories. The reproduction of color on all kinds of devices and media has been her area of interest since she received her Masters and PhD in computer science from the Vienna University of Technology, after which she did a PostDoc at the Ecole Nationale Superieure des Telecommunication in Paris. Tastl is an IS&T member and was General Co-chair of CIC10.
Jack Holm is a senior scientist working on strategic technology in the CTO office of Hewlett-Packard’s Imaging and Printing Group. He is HP’s primary standards representative on several digital imaging committees, including the I3A Standards Management Board. Holm is chair of the US TAG for ISO TC42 (Photography), and technical secretary for the IEC TC 100 TA2 (Multimedia systems & equipment – Color measurement & management). He also serves as liaison from ISO TC42 to IEC, ICC, and CIE committees. Holm has been active in digital photography research for more than a decade, and was a primary contributor to the development of color processing for HP digital cameras. Previously he served as a digital photography consultant, and on the faculty of the RIT School of Photographic Arts and Science.
| Prices |
|
until October 5 |
after October 5 |
| Member |
$ 150.00 |
$ 180.00 |
| Student Member |
$ 150.00 |
$ 180.00 |
| Non-Member |
$ 195.00 |
$ 225.00 |
| Student Non-Member |
$ 195.00 |
$ 225.00 |
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T3A — 2 hour tutorial
Tuesday November 8, 2005
, 8:00 to 10:00 am
Cancelled: T3A–Recent Advances in
Industrial Inkjet Technology Cancelled:
Instructor: Phillip Bentley, Xennia Technologies
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The growth of inkjet printing in recent years has been truly remarkable. Much of this success is due to developments in ink chemistry, which have opened up a world of new applications for inkjet and thus increased the importance of color and polymer chemistry. In the case of color, the use of dye or pigment is now one of the most widely debated topics in the industry, while polymer chemistry has become a central feature of ink development. This course will provide an overview of the key elements involved in industrial inkjet printing with a particular focus on inkjet techniques, systems, and ink design. The course will draw on emerging inkjet applications to highlight the potential for inkjet as a reliable and cost-effective printing solution.
Benefits:
This course will enable the attendee to: - Form a comparative overview of the various inkjet techniques
- Describe the issues surrounding inkjet ink colorant formulations (dye based vs. pigment inks)
- Identify key features for reliable and successful inkjet ink design across a range of ink types
- Gain a broad understanding of current and emerging markets for industrial inkjet
Intended Audience:
Intended for chemists, engineers, and scientists who are working in the color management industry looking to gain a detailed overview of the inkjet proposition, the course would also be of interest to managers/technical staff looking to understand and evaluate the potential for inkjet within their organization.
Philip Bentley joined Xennia in 1999 and is now principal chemist, responsible for a number of multi-disciplinary projects. He has been involved with all forms of inkjet technology, developing a wide range of products for a variety of complex applications. He is accredited with developing the unique chemistry currently applied in the direct write of conductive inks. Bentley graduated from Loughborough University of Technology (1995) with a BSc Honors degree in Chemistry with Polymer Science Technology. He completed his PhD at Sheffield University, working on the synthesis and characterization of liquid crystalline electroluminescent polymers for use in polarized display applications.
| Prices |
|
until October 5 |
after October 5 |
| Member |
$ 150.00 |
$ 180.00 |
| Student Member |
$ 150.00 |
$ 180.00 |
| Non-Member |
$ 195.00 |
$ 225.00 |
| Student Non-Member |
$ 195.00 |
$ 0.00 |
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T3B — 2 hour tutorial
Tuesday November 8, 2005
, 10:20 am to 12:20 pm
T3B–Device Simulation for Image Quality Evaluation
Instructor: Joyce Farrell, Stanford University
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This course uses the Image Systems Evaluation Toolbox (ISET) to simulate and evaluate the influence that different imaging system components have upon perceived image quality. The course is organized into sections corresponding to the six ISET modules that simulate visual scenes, optics, sensors, image processing, displays, and human observers. The scene module uses high-dynamic multispectral image data to calculate the spectral radiance (photons/ sec/nm/sr/m2) at each point in a sampled scene. The optics module converts the scene radiance data to an irradiance image at the sensor. The sensor module converts the sensor irradiance image into electron counts within each pixel of the image sensor. The processor module transforms the electron count into a digital image and applies both demosaicing and color balancing algorithms. The display module applies rendering algorithms and calculates the spectral radiance generated by the final displayed image. Finally, ISET includes several image quality metrics (e.g., CIELAB, S-CIELAB) that measure the perceptual difference between any two radiance images. When one of the radiance images corresponds to the original scene data, the image quality metrics provide a measure of image fidelity. This course will include many practical examples that illustrate how to use ISET through graphical user interface and scripting. Examples will include methods for visualizing and quantifying different imaging system components that influence perceived image quality.
Benefits:
This course will enable the attendee to: - Install a student version of the Image Systems Evaluation Toolbox (ISET) onto their personal laptop computers
- Describe the apparatus and method for acquiring high dynamic multispectral image data
- Learn in detail how to use the various components of the ISET Scene, Optics, Sensor, Processing, and Display Modules
- Describe the measurement data necessary to simulate a linear display
- Use ISET to evaluate system design tradeoffs that exist between spatial resolution (pixel size) and dynamic range, spatial resolution and color fidelity, algorithm complexity and image quality, etc.
Intended Audience:
Intended for engineers, scientists, students, and managers who wish to understand how changes in imaging system components will affect perceived image quality, the course will be especially useful for engineers who are designing optics, sensors, processing algorithms, or displays for digital cameras and cell phone imagers.
Joyce Farrell is executive director of the Stanford Center for Image Systems Engineering. She received her doctorate from Stanford University and has more than 20 years of research and professional experience working at a variety of companies and institutions, including NASA Ames Research Center, New York University, Xerox Palo Alto Research Center, Hewlett-Packard Laboratories, and Shutterfly (a startup co. specializing in online digital photo-finishing). She is also CEO and founder of ImagEval Consulting, LLC.
| Prices |
|
until October 5 |
after October 5 |
| Member |
$ 150.00 |
$ 180.00 |
| Student Member |
$ 150.00 |
$ 180.00 |
| Non-Member |
$ 195.00 |
$ 225.00 |
| Student Non-Member |
$ 195.00 |
$ 225.00 |
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T3C/D — 4 hour tutorial
Tuesday November 8, 2005
, 1:30 to 5:50 pm
T3C/D–Color in Electronic Displays
Instructor: Gabriel Marcu, Apple Computer
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This course discusses and compares the most important color reproduction factors in electronic displays, covering CRT, AMLCD (including transmissive, reflective, and transflective displays in mobile devices), plasma (PDP), OLED, and projection systems such as DLP, LCD, LCoS technologies. The tutorial covers display technologies for different applications, ranging from mobile devices to large LCD TV screens. Factors such as display technology, luminance level, contrast ratio, opto-electronic transfer function, color gamut, viewing angle, flare, white point, gray tracking, response time, and color model are discussed. The importance of color management for accurate color control is explained and the influence of viewing conditions and adaptation in the evaluation of the displayed color is highlighted. The tutorial gives an easy-to-understand, yet in-depth, analysis of all the elements that determine the color performance of electronic displays, beginning with the measurement and interpretation of data (including gamut visualization and comparison) to the role of test images in evaluating display color quality.
Benefits:
This course will enable the attendee to: - Understand the principles of color formation for most widely used emissive, reflective, transmissive, and transflective display technologies
- Compare the color performance of CRT versus AMLCD of different modes such as twisted nematic (TN), in-plane switching (IPS, Super-IPS), vertical alignment (MVA), and fringe field switching (FFS) technologies
- Understand projection technologies such as DLP, LCD and LCoS and get an over- view of emerging display technologies
- Learn about gray tracking, its importance in color quality on displays, and how to control it
- Select the optimal color model for a display and highlight its dependency on display technology
- Calibrate and characterize different types of displays (including the projector used in the class) using tools varying from visual calibrator to instrument-based ones
- Apply the knowledge from the course to practical problems of color control in display projects
Intended Audience:
The course is intended for engineers, scientists, project managers, pre-press professionals, and others confronting color issues in electronic displays.
Gabriel Marcu is senior scientist in the 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). Marcu is responsible for color calibration and characterization of Apple display products. He has taught seminars and short courses on color topics at Shizuoka University (Japan), UC Berkeley, EMI Cambridge (UK), and various IS&T, SPIE and SID conferences. Marcu is co-chair of the 2006 Electronic Imaging Symposium and co-chair of one of its conferences, Color Imaging: Processing, Hardcopy, and Applications.
| Prices |
|
until October 5 |
after October 5 |
| Member |
$ 200.00 |
$ 230.00 |
| Student Member |
$ 200.00 |
$ 250.00 |
| Non-Member |
$ 250.00 |
$ 280.00 |
| Student Non-Member |
$ 250.00 |
$ 200.00 |
|
T4A — 2 hour tutorial
Tuesday November 8, 2005
, 8:00 to 10:00 am
T4A–Color Science for HDTV and Digital Cinema
Instructor: Charles Poynton, Consultant
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High-definition television (HDTV) broadcasting is now commonplace and most television productions are being made in HDTV (even if “downconverted” to standard-definition television, SDTV, for analog broadcast). Digital cinema is also now in the mainstream. Several movies have been captured entirely in the 1080p24 digital format (derived from HDTV) without the use of any film. In post-production, digital intermediates are now used routinely to store entire movies digitally, even those portions scanned-in from film. Digitally-produced movies are “filmed-out” (recorded to 35 mm motion picture film) for exhibition, but digital masters are made for exhibition in the approximately 150 commercial cinemas worldwide now equipped with digital cinema projectors. Digital HDTV production and digital movie making present important and challenging applications of color science, color image coding, and color management. The high contrast ratio and wide gamut of cinema film set goals well beyond the limits of graphics arts. This tutorial details the application of color science to HDTV and digital cinema. It explores the technologies of HDTV and D cinema, from camera and scanner technology, through processing, to digital cinema display equipment and film recorders. The application of color science to each of these steps is explained and how color appearance models are finding new applications in this domain are explored.
Benefits:
This course will enable the attendee to: - Evaluate the contrast ratio and gamut constraints of various image coding systems
- Understand color image coding for HDTV and digital cinema
- Understand the color signal processing required to process cinema-class imagery
Intended Audience:
This course is intended for scientists, engineers, and managers involved in the design, engineering, and evaluation of digital cinema, and more generally, high-quality continuous-tone imaging products, algorithms, or systems. Participants should be familiar with color science and color image coding, and should have no fear of mathematics.
Charles Poynton is an independent contractor specializing in the physics, mathematics, and engineering of digital color imaging systems, including digital video, HDTV, and digital cinema (D cinema). While at Sun Microsystems, from 1988 to 1995, he initiated Sun’s HDTV research project, and introduced color management technology to the company. Soon after its introduction in February 2003, Poynton’s book, Digital Video and HDTV Algorithms and Interfaces, was Amazon.com’s 3,339th most popular book.
| Prices |
|
until October 5 |
after October 5 |
| Member |
$ 150.00 |
$ 180.00 |
| Student Member |
$ 150.00 |
$ 180.00 |
| Non-Member |
$ 195.00 |
$ 225.00 |
| Student Non-Member |
$ 195.00 |
$ 225.00 |
|
T4B — 2 hour tutorial
Tuesday November 8, 2005
, 10:20 am to 12:20 pm
T4B–Color in High Dynamic Range Imaging
Instructor: Greg Ward, Consultant
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This course will describe the techniques and technologies behind high dynamic range imaging, covering methods for HDR capture, representation, editing, and display. Live demonstrations of HDR image capture using a standard digital camera, image-based lighting techniques for rendering synthetic objects into a real environment, and real-time HDR display will be featured. Tone-mapping and gamut-mapping issues for low dynamic range output and printing will also be addressed.
Benefits:
This course will enable the attendee to: - Compare low to high dynamic range imaging
- Outline basic methods for HDR image capture
- List major HDR image formats, their strengths, and weaknesses
- Describe the dual-modulation method for HDR image display
- Summarize the tone-mapping problem as it applies to HDR image printing
- Define image-based lighting and give examples from recent movies
Intended Audience:
This course is intended for 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, the goal is to convey the simplicity and power of this exciting new trend in digital imaging.
Greg Ward is a pioneer in the HDR space, having developed the first widely used HDR image file format in 1986 as part of the radiance lighting simulation system. In 1998, he introduced the more advanced LogLuv TIFF encoding, and more recently, created a backwards-compatible HDR extension to JPEG. He is the author of the Mac OS X application Photosphere and a coauthor of High Dynamic Range Imaging. Having worked in the computer graphics research community for more than 20 years, Ward has developed rendering algorithms, reflectance models and measurement systems, tone reproduction operators, image processing techniques, and photo printer calibration methods. His past employers include the Lawrence Berkeley National Laboratory, EPFL Switzerland, SGI, Shutterfly, and Exponent. He holds a BS in Physics from UC Berkeley and a MS in Computer Science from SF State University. He is an independent consultant in Albany, California and is currently collaborating with Sunnybrook Technologies on their HDR display systems.
| Prices |
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until October 5 |
after October 5 |
| Member |
$ 150.00 |
$ 180.00 |
| Student Member |
$ 150.00 |
$ 180.00 |
| Non-Member |
$ 195.00 |
$ 225.00 |
| Student Non-Member |
$ 195.00 |
$ 225.00 |
|
T4C — 2 hour tutorial
Tuesday November 8, 2005
, 1:30 to 3:30 pm
T4C–Color in Medical Imaging
Instructor: Mostafa Analoui, Pfizer Global Research & Development
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This course will begin with a general overview of key elements in diagnostic imaging, from acquisition to analysis and display. The role of color and spectral methods as it applies to each of these areas will be described. The course will primarily focus on usage of color and spectral information for in vivo imaging. Discussion topics include utility of color in rendering and visualization of multi-dimensional and multi-modality data, as well as device calibration for quantitative tissue color assessment and matching. Clinical examples will be used to discuss case studies in dermatology, ophthalmology, and prosthodontics. In conclusion, current activities and challenges in hyperspectral imaging and selective-band contrast agents will be described.
Benefits:
This course will enable the attendee to: - List key utilities of color in diagnostic imaging
- Comprehend the fundamental optical tissue properties and its color/spectral signature
- Explain calibration and validation procedures for color matching in prosthesis
- Describe the diagnostic value of color in medical imaging
- Understand fundamental usage of color in medical image rendering and visualization
- Appreciate clinical challenges in medical deployment of color
- Identify emerging color/spectral techniques for medical imaging
Intended Audience:
This introductory course is intended for engineers, scientists, students, and managers interested in acquiring a broad appreciation of utility of color in medical imaging, as well as challenges and emerging techniques. Clinical examples and cases studies are selected so that audience with minimal background in clinical imaging can comprehend and appreciate the topics. Attendees are expected to be familiar with key concept in image processing and colorimetry. The teaching materials are organized such that prior experience in life sciences and clinical imaging would not be required.
Mostafa Analoui is senior director and site head for Groton/New London of Global Clinical Platforms at Pfizer Global Research and Development in Connecticut. He is also adjunct professor of Radiology and Oral Pathology Medicine at Indiana University Schools of Medicine and Dentistry. He is actively involved in the development of novel technologies and methodologies in diagnostic and quantitative imaging. Analoui was previously the director of Oral and Maxillofacial Imaging Research at Indiana University, and associate professor of Biomedical Engineering and Electrical & Comp Engineering at Purdue University. Analoui has served on various scientific and business advisory committees and has authored more than 120 publications.
| Prices |
|
until October 5 |
after October 5 |
| Member |
$ 150.00 |
$ 180.00 |
| Student Member |
$ 150.00 |
$ 180.00 |
| Non-Member |
$ 195.00 |
$ 225.00 |
| Student Non-Member |
$ 195.00 |
$ 225.00 |
|
T4D — 2 hour tutorial
Tuesday November 8, 2005
, 3:50 to 5:50 pm
T4D–Spectral Imaging
Instructor: Roy S. Berns, Rochester Institute of Technology
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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 will explore current spectral-imaging techniques and applications for qualitycritical color reproduction (i.e., spectral color reproduction) and scientific-based digital archives.
Benefits:
This course will enable the attendee to: - Understand the advantages and disadvantages of spectral imaging compared with trichromatic imaging
- List and compare different techniques of spectral imaging
- Understand principal component analysis for data reduction and generating statistical colorants
- Become familiar with the foundations of estimating spectral reflectance from multi-channel images
- Comprehend the applications of spectral imaging for multi-ink printing, spectral color management, and scientific-based digital archiving
Intended Audience:
This course is directed toward 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 Rochester Institute of Technology’s Center for Imaging Science. He directs a research group that has been active in spectral imaging and spectral color reproduction for nearly a decade. The group is currently designing a spectral imaging system for the National Gallery of Art inWashington 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 is the author of Billmeyer and Saltzman’s Principles of Color Technology, 3rd edition. He is also an IS&T Fellow.
| Prices |
|
until October 5 |
after October 5 |
| Member |
$ 150.00 |
$ 180.00 |
| Student Member |
$ 150.00 |
$ 180.00 |
| Non-Member |
$ 195.00 |
$ 225.00 |
| Student Non-Member |
$ 195.00 |
$ 225.00 |
|
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