Advanced Colorimetry and Color Appearance
Instructor: Gaurav Sharma, University of Rochester
Level: Introductory
Duration: 4 hours plus half hour break. After the class, adjourn to Zoom to join the instructor and other students in a discussion of the class.
Course Time:
    New York: Monday 9 November, 10:00-15:00
    Paris: Monday 9 November, 16:00-21:00
    Tokyo: Tuesday 10 November, 00:00-05:00

Benefits: 
Attendees will be able to:

• Understand how changes in the state of visual adaptation affect the perceived appearance of colors.
• Identify the main elements of a color appearance model and explain the critical role of chromatic adaptation in color appearance.
• Describe the Von Kries model for chromatic adaptation transformations, and perform computations using the model.
• List additional psycho-physical effects modeled by CIECAM02 and CAM16 color appearance models.
• Understand how models such as CIECAM02 and CAM16 are used in color management.
• Outline the basic characteristics spatial color perception.

Intended Audience: color engineers, research scientists, and software developers involved in design and optimization of color imaging systems, algorithms, and devices. Prior knowledge of fundamental colorimetry is assumed.

Course Description:
Building on a foundation in basic color science and colorimetry, this course provides attendees a broad understanding of color appearance phenomena and introduces them to color appearance modeling. The relationship of these important color appearance phenomena to the state of adaptation of the human visual system is explained. Students learn the perceptual color attributes of lightness, brightness, colorfulness, saturation, chroma, and hue. The course presents widely-used computational models for evaluating correlates of these attributes. Spatial aspects of color vision are discussed, as well as simple models for spatial color perception.

Gaurav Sharma has more than two decades of experience in the design and optimization of color imaging systems and algorithms that spans employment at the Xerox Innovation Group and his current position as a professor at the University of Rochester in the departments of electrical and computer engineering and computer science. Additionally, he has consulted for several companies on the development of new imaging systems and algorithms. He holds 51 issued patents and has authored more than 200 peer-reviewed publications. He is the editor of the Digital Color Imaging Handbook (CRC Press) and served as the editor-in-chief for the IS&T/SPIE Journal of Electronic Imaging (2011-2015). Sharma is a Fellow of IS&T, IEEE, and SPIE.

For office use only: