NEW Psychophysics Lab: Hands-on Graphic Scaling of Image Quality
Instructor: J. A. Stephen Viggiano, Rochester Institute of Technology
Level: Intermediate
Duration: 2 Hours
Course Time: 
     New York: 27 October 2021, 18:30 - 20:45
     Paris: 27 October 2021, 00:30 - 02:45
     Tokyo: 28  October 2021, 07:30 - 09:45

Course Prerequisite: An introduction to psychophysics is recommended, particularly Jim Ferwerda's CIC course SC04 Fundamentals of Psychophysics. . Some familiarity with statistics (perhaps in a previous life) is helpful, though review of pertinent techniques will be presented.

Benefits:
Attendees will be able to:

• Understand the anchorless graphic rating technique.
• Construct an interval preference scale using anchorless graphic rating.
• Determine whether there is convincing evidence of a preference.
• Interpret multiple-range differences.
• Present your results (and interpret the results of others).

Course Description
Learn how to assess image quality and preference—and get experience doing it. In this course is a balance of theory and practice, of the anchorless graphic rating method for image quality and preference. It includes a hands-on run-through of the technique. Graphic rating is a fast, efficient, and effective method for measuring image quality and preference using visual observations, and is superior in several respects to other techniques, such as paired comparison.

Based on an earlier presentation of this course by this instructor, the Academy of Motion Picture Arts and Science revised voting procedures for their Academy Awards

Intended Audience: those who need to assess image quality and preference, especially image engineers, and those who need to talk about or interpret image quality measurements based on visual observations, especially managers

J. A. Stephen Viggiano, is assistant professor of photographic science at Rochester Institute of Technology (US), and has three decades experience as a professional educator. He has run special courses for industrial clients, including Samsung and Lexmark, International. Viggiano was a principal imaging scientist at RIT Research Corporation, and has taught statistics at RIT's School of Mathematical Sciences.

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