Instructors: Kevin J. Matherson, Microsoft, and Uwe Artmann, Image Engineering GmbH & Co. KG
Level: Introductory
Prerequisites: No specific imaging background is assumed. It is helpful if participants have a basic knowledge of engineering or physics.

Benefits:
This course enables the attendee to:

• Explain the fundamental noise sources in imaging systems and what influences them.
• Explain how various operations in the imaging pipeline can increase, decrease, or modify image noise.
• Measure noise by applying the most important noise-related international standards.
• Predict and model system-level camera performance using international standards.
• Compare noise sources using various photon transfer curve techniques.

Course Description:
Image noise is one of the most important aspects of image quality. In this course, students learn the sources of noise, what influences noise, and how to measure it. Noise does have different sources in the fundamental physics of the imaging sensor and is modified in different ways through the image pipeline, from light in to digital value out. The course aids in the understanding of the sources of noise and how these sources impact imaging system design decisions. Students also learn how to properly measure noise in imaging systems. As there are different standards for noise measurement, each with its own specific setup, in which analysis and terminology differ, there can be confusion about what to measure and how. This course helps clear up misunderstandings and provides hands-on experience in measuring noise.

Intended Audience: Anyone involved in designing a camera system, from engineering level to project management.

Kevin Matherson is a director of optical engineering at Microsoft Corporation working on advanced optical technologies for AR/VR, machine vision, and consumer products. Prior to Microsoft, he participated in the design and development of compact cameras at HP and has more than 20 years of experience developing miniature cameras for consumer products. His primary research interests focus on sensor characterization, optical system design and analysis, and the optimization of camera image quality. Matherson holds an MS and PhD in optical sciences from the University of Arizona.

Uwe Artmann studied photo technology at the University of Applied Sciences in Cologne following an apprenticeship as a photographer, and finished with the German ’Diploma Engineer’ degree. He is CTO at Image Engineering, an independent test lab for imaging devices and manufacturers of all kinds of test equipment for these devices. He is an active contributor to different international standards committees including IEEE-P2020, EMVA1288, and VCX Forum.