This course provides attendees with an intermediate knowledge of high dynamic range image sensors and techniques for industrial and non-industrial applications. The course describes various sensor and pixel architectures to achieve high dynamic range imaging as well as software approaches to make high dynamic range images out of lower dynamic range sensors or image sets. The course follows a mathematic approach to define the amount of information that can be extracted from the image for each of the methods described. Some methods for automatic control of exposure and dynamic range of image sensors and other issues like color and glare will be introduced.
describe various approaches to achieve high dynamic range imaging
predict the behavior of a given sensor or architecture on a scene
specify the sensor or system requirements for a high dynamic range application
classify a high dynamic range application into one of several standard types
This material is intended for anyone who needs to learn more about quantitative side of high dynamic range imaging. Optical engineers, electronic engineers and scientists will find useful information for their next high dynamic range application.
COURSE PRICE INCLUDES the text High Dynamic Range Imaging: Sensors and Architectures (SPIE Press, 2012) by Arnaud Darmont.