The International Color Consortium (ICC) was established for the purpose of creating, promoting and encouraging the standardization of an open, vendor-neutral, cross-platform color management system architecture and components. The outcome was the development of the ICC profile specification. The ICC has completed the new specification, iccMAX that enables new ways of openly communicating about light, color and appearance. The result of this effort is that several real world scenarios can now be directly addressed using iccMAX based approaches that could not be easily addressed with previous open color management solutions.

iccMAX represents a next-generation color management system that expands upon the existing ICC.1 profile format and architecture. After identifying some of the limitations of ICC.1, an introduction and overview of the concepts in the iccMAX specification will be presented. Examples of new features introduced in iccMAX include spectral processing, material identification and visualization, BRDF, new data types, an improved gamut boundary descriptor, and support for arbitrary and programmable transforms. The intent of this presentation is to provide an introduction to iccMAX with specific details and applications left to other presenters during the conference.

Bio:
William is currently Color Technology Manager with Eastman Kodak. William brings a diverse background in engineering, physics, and systems design and leads the team responsible for developing core color technology in such products as Kodak ColorFlow Software, Kodak Proofing System, Prosper, and Matchprint Virtual. He began his career in the graphic arts industry in 1997, joining the award-winning Prinergy PDF workflow team developing screening and calibration software at Creo, and has led the color technology group since the 2004 acquisition of Creo by Kodak. William is active in international standards work, including both ISO TC 130 as well as ICC, where he serves as chair. He has been a frequent speaker at the Printing Industries of America Color Management Conference, the Kodak Graphic Users? Association, the Hong Kong Color Management Symposium, and other venues.

There are several known causes of discoloration problems on painting, such as exposure to light, dust, and air. The faded colors are possible to be recovered to some degree by using a multispectral lighting system. As more and more cost effective commercial tunable multispectral LED systems are available in the professional lighting market, how to determine input signals of the LED lamps is the key question which affects the result of color appearance greatly.

iccMAX is a powerful tool which can be used to characterized a multispectral camera as well as a multispectral LED system. The spectral reflectance of principal colors on a painting can be estimated by the spectral camera. The best combination of the LED signals can be determined by minimizing a cost function with the criteria of color tuning. The talk will introduce experiments, modeling and results for the iccMAX-based multispectral lighting application.

Bio:
Wei-Chun Hung is a Ph.D. student at Graduate Institute of Applied Science and Technology at National Taiwan University of Science and Technology (NTUST). She obtained her B.S. in Color Imaging and Illumination Technology (2014) from the NTUST. Her research interests are multispectral imaging and color management.

Pei-Li Sun received his Ph.D. at the Colour & Imaging Institute of the University of Derby in England in 2002. He is an assistant professor at Graduate Institute of Color and Illumination Technology in National Taiwan University of Science and Technology. His current research interests are image quality enhancement, appearance measurement, and color vision. .

A high-resolution spectral imaging workflow for digital archival of artwork is presented. This system allows for accurate rendering of paintings and other artwork under any viewing conditions. Implementations of several new features provided by iccMAX are illustrated in the context of the system?s imaging chain, including spectral PCS, material connection space, the programmable stack calculator, and BRDF data encoding. Several MatLab GUI tools that assist in the development of iccMAX profiles are also presented.

Bio:
Ben Bodner received his BS in motion picture science from the Rochester Institute of Technology (2012). He worked as an Image Scientist at Exelis, focused display technology and imaging algorithm development. He is pursuing a Masters in Color Science at RIT, where his research involves multi-spectral imaging, Kubelka-Munk theory, and image processing. He is also currently interning at Dolby's Applied Vision Science Lab, researching perception of high dynamic range displays.

Dr. Roy S. Berns is the Richard S. Hunter Professor in Color Science, Appearance, and Technology within the Program of Color Science at Rochester Institute of Technology, USA where he developed both M.S. and Ph.D. degree programs in Color Science. He directs the Andrew W. Mellon Studio for Scientific Imaging and Archiving of Cultural Heritage. He received B.S. and M.S. degrees in Textiles from the University of California at Davis and a Ph.D. degree in Chemistry from Rensselaer Polytechnic Institute. He has received lifetime achievement awards from the International Association of Colour, the Colour Group of Great Britain, and the Inter-Society Color Council.

Colour vision deficiency (CVD) affects a significant number of individuals. A number of papers have focused on either simulating the appearance of a colour image to a CVD observer, or adjusting the image to improve the discriminability of colours to such observers. In this paper we show how ICC profiles can be used to handle a wide variety of published transforms in this field. While some transforms can readily be encoded in v4 LUT-based profile, the new iccMAX architecture provides some additional possibilities, such as parameterized transforms for individual observers, encoding of functional transforms in the MPE and Calc elements, and the use of custom colorimetric observer and profile connection space. By using the ability to connect spectral data, iccMAX profiles also enable computation of the spectral response of the CVD observer to a given spectral reflectance, light source or emission.

Bio:
Phil Green is Professor of Colour Imaging at the Colour and Visual Computing Laboratory, NTNU in Gjøvik, Norway. He is also Technical Secretary of the International Color Consortium. Dr. Green received a MSc from the University of Surrey in 1995, and a PhD from the former Colour & Imaging Institute, University of Derby, UK in 2003. Following a career in the UK printing industry, he worked at London College of Communication, UK until 2012, most recently as Head of Research. Dr. Green's current research interests are around cross-media colour reproduction, and include characterization, appearance, metrology, image quality and colour difference.

The color and intensity of the light from a LCD display panel typically varies with the angle that the display is viewed from. ICC version 4 display profiles characterize a display from only one viewing angle (typically perpendicular to the surface). The characterization of the display by the profile can therefor have poor accuracy unless the display is view from the same angle as the profile was made. Additionally, if the display is viewed from a close distance, the viewing angle can have a significant variation across the screen. Various head and eye tracking technologies can track an observer's location while a display is being observed so that an observer's viewing angle can be computed. ICCMax includes a set of profile tags that allow a display to be characterized for both viewing angular and spatial location.

This presentation will demonstrate a method of measuring a display from different viewing angles, building an ICCMax profile for the display with the measurement data, and applying the profile with a GPU. Measurement is made with a colorimeter mounted on a tripod and aimed at the center of the display screen. iccMax supports a new set of tag formats that are similar to the A2B & B2A tags but also support angular and spatial input parameters. The angular inputs are the azimuth and zenith of the viewing vector and the spatial parameters are the spatial coordinates on the screen. The new tags are implemented as a multi-processing element type and can contain calculator elements. The profile to be demonstrated is an implemented as a matrixTRC profile with multiple viewing angles. The calculator element is used to select the correct set of curves and matrices to use, apply the curves and matrices, and interpolate the results for the current viewing angle. The application of the profile is demonstrated as openGL shader code that implements the elements of the multi-processing element.

Bio:
James Vogh received his M.S. degree in Electrical Engineering from the University of Tulsa in 1990 and a Ph.D. in Cognitive and Neural Systems from Boston University in 1998. During his Ph.D. he developed a neural network architecture for recognizing 3D objects. At Monaco Systems he developed ICC based calibration technologies. Since 2004, he is a principle color scientist at X-Rite where he continues to develop calibration technology as he conducts advanced research in color science.

New technologies have been developed to widen the color gamut on displays, and wide color gamut display in theory can improve the accuracy in soft proofing application, and exhibit a better reproduction of the real world colors. Quantum Dot technology is one of the technologies which enable displays to achieve full coverage of Adobe RGB, DCI-P3 and the latest Rec. 2020 color gamut. The technology involves using UV and the blue portion of the light spectrum to excite the chemicals to produce narrow band green and red lights. However, recent studies have shown that displays with narrow band spectrum will result in a lesser perfect reproduction than CCFL displays can achieve. The reason was believed to be the variation in each observer?s color matching function. A small variation will result in a huge difference in XYZ values due to concentrated energy in particular bandwidths. In this study, observer?s color matching function was categorized and the spectral characteristic of the display was measured. The individual observer color matching function along with the spectral data of the wide color gamut display were encoded with the latest iccMAX framework to deliver an improved performance comparing with no observer metamerisim correction in color matching experiment.

Bio:
Chris Bai is the Chief Color Expert and Product Manager at BenQ Corporation where he developed the first printing industry certified color management monitor from BenQ. His responsibility also includes software developing for color application in different industries, standards developing and color education. He was the Director of the R&D Division at Printing Technology Research Institution in Taiwan and a fellow researcher at Display Technology Center in Industrial Technology Research Institution. Coming from a mixed background of printing and display technology research, he believes making soft-proofing accessible is the future, and that was his mindset when designing the product. He received his BASc. in Computer Engineering from University of British Columbia, Canada, and his passion in photography had lead him into the world of color. He received his MSc. in Color Science from University of Leeds, UK. His experience and education in color science has allowed him to provide extensive color management training to printers, photographers, designers and everyone who is interested in color management.

In this session a hands-on workshop will be conducted utilizing the reference implementation library and tools for iccMAX. RefIccMAX represents a jumping board by which one can begin to create and use iccMAX profiles.

Topics that will be covered include:

• Overview of projects, code, libraries, and tools available in RefIccMAX
• Using iccXML to create workflow specific iccMAX profiles
• Incorporating data from other sources like MATLAB/Octave
• Applying iccMAX profiles
• Integration of the RefIccMAX CMM into personal projects

Some familiarity with ICC color management is recommended. Though some software programming topics will be covered, extensive knowledge of programming is not required to benefit from this workshop.

Bio:
Max Derhak has worked for Onyx Graphics Inc. since 1990 where he currently functions in the role of Principal Scientist. Max has a Bachelors in Computer Science from the University of Utah, a Masters in Imaging Science at The Rochester Institute of Technology, and a PhD. in Color Science from RIT. Max admits to having a passion for both color and color technology. He was an initial contributor to the open source SampleICC and ICCXml projects which he continues to maintain. Max serves as a Co-Chair of the ICC as well as the Chair of the ICC Architecture Working Group, and has been a primary driving force in making iccMAX a reality. Max is also the initial contributor and maintainer of the iccMAX reference implementation - RefIccMAX.