by Prof. Dr. Rafał K. Mantiuk
An image shown on a dark display will appear differently than an image shown on a bright display. The image appearance will also differ with the viewing distance, ambient light and the age of an observer. To improve the experience of watching content on displays of varying size, resolution, brightness, dynamic range and by different groups of observers, it is desirable to find the method that can match image appearance across the displays and viewing conditions.
In this talk I will explain how the models of contrast sensitivity can be used to model the differences in image appearance across viewing conditions. I will present the latest results of colour contrast sensitivity measurements on the HDR displays capable of producing luminance up to 35,000 cd/m^2. We combine that data with other datasets to create a comprehensive model of colour contrast sensitivity. Then, I will explain the link between contrast sensitivity, contrast constancy and contrast appearance. Finally, I will introduce an algorithm that we use to simulate image appearance on displays of different brightness and size.
All the first webinars here.