NEW Color Science Research and Application
Instructors: Ming Ronnier Luo, Zhejiang University, and Minchen (Tommy) Wei, The Hong Kong Polytechnic University
Level: Introductory
Duration: 8 hours
Prerequisites: High-school level familiarity with science and math concepts. Prior familiarity with basics of signal and image processing is helpful.
Course Time: 8:30 - 17:45
Benefits
This course enables the attendee to:
- Compute tristimulus values from spectral distributions and transform between color space representations.
- Understand color matching functions and CIE illuminants and methods to define them.
- Cover the state-of-the-art uniform color spaces and color difference formulae.
- Understand the CIE color appearance models, their visual phenomenon, one- and two-dimensional scales.
- Design color management workflows to achieve different types of cross-media color imaging reproduction: spectral, stimulus, appearance, and preference.
- Achieve automatic white balance methods and chromatic adaptation in the image pipeline.
Course Description
This 8-hour course provides a comprehensive introduction to the fundamentals of color perception and specification, and an overview of how these play a role in modern color management systems. The course is divided into color science and color engineering.
The color science part begins with a summary of the psychophysics of color: starting from spectral power distributions that form the physical basis of color, proceeding through measuring the color matching functions of the human visual system, following by computation of CIE XYZ values, until reaching the perceptual uniform color space, and color appearance model. Special attention is paid to three topics: color matching functions, uniform color space, and color appearance modeling. The color engineering part introduces methods to achieve four types of color reproduction: spectral, stimulus, appearance, and preference by building an imaging system to achieve cross-media color reproduction.
The course also introduces different automatic white balance and chromatic adaptation transforms.
Intended Audience: color engineers and research scientists involved with color reproduction, imaging device developers, and computer software developers. Knowledge of fundamental colorimetry is assumed.
M. Ronnier Luo is a chair professor in the Optical Engineering Department, Zhejiang University (China). He received his PhD from Bradford University (UK) in color science and has more than 750 publications in the fields of color science, imaging science, and illumination engineering. He is a Fellow of IS&T and SDC, and has been an active member of CIE. Luo has received numerous awards, including the 2017 Judd Award and the 2020 Newton Award, for his contributions to color science research. He has 30 year's experience teaching color science and image engineering in three institutions, and more than 10 year's experience teaching courses at CIC and CGIV, as well as numerous CIE seminars.
Minchen (Tommy) Wei is the director of the Color, Imaging, and Metaverse Research Center, the recipient of China's Excellent Young Scientists Fund. He obtained his bachelor’s degree from Fudan University and his MS and PhD in architectural engineering from Pennsylvania State University. He joined PolyU in October 2015 as an assistant professor. His research mainly focuses on fundamental color science, color management, applications for imaging and metaverse systems, and illuminating engineering. Wei is currently the vice president of CIE, chairman of CIE (HK), and national representative in CIE Divisions 1 and 8. He is also an associate editor of Journal of the Optical Society of America A, Color Research & Application, and LEUKOS (Journal of Illuminating Engineering Society). He received a 2021 Google Research Scholar Award, PolyU Young Innovative Researcher Award, a 2022 PolyU President's Award for Outstanding Knowledge Transfer, and a 2023 Hong Kong Engineering Science Award in 2023, among others.