Imaging Quality: Industry Standards for Mobile, Automotive, and Machine Vision Applications
Instructors: Don Williams, Image Science Associates, and Peter Burns, Burns Digital Imaging
Level: Intermediate
Duration: 4 Hours plus 30-minute break and 30-minute post-class discussion
Course Date/Time:

San Francisco: Tuesday 11 January, 07:00 - 12:00
New York: Tuesday 11 January, 10:00 - 15:00
Paris: Tuesday 11 January, 16:00 - 21:00
Tokyo: Wednesday 12 January, 00:00 - 05:00

Prerequisites: An introduction to methods for imaging performance testing (optical distortion, color-error, MTF, etc.) will be useful.

Benefits
This course enables the attendee to:

• Understand current methods for objective image quality evaluation.
• Explain the difference between imaging performance and image quality.
• Describe why standard performance methods might differ with markets.
• Identify challenges, and approaches for evaluating wide Field-of-View (FOV) cameras.
• Quantify and mitigate sources of system variability, e.g., in multi-camera systems.

Course Description
We start by discussing objective image quality methods, as developed for image capture systems. Several of these methods have been adapted in emerging standards for, e.g., automotive (ADAS) and machine-vision applications. We describe how and why imaging performance methods are being adopted. Most efforts rely on several ISO-defined methods, e.g., for color-encoding, image resolution, distortion, and noise. While several measurement protocols are similar, the image quality needs are different. For example, the EMVA 12288 standard for machine vision emphasizes detector signal and noise characteristics. However, the CPIQ and IEEE P2020 automotive imaging initiatives include attributes due to optical and video performance (e.g., distortion and motion artifacts).

Intended Audience
Image scientists, quality engineers, and others evaluating digital camera and scanner performance.

Peter Burns is a consultant for imaging system evaluation, modeling, and design. Previously he worked for Carestream Health, Xerox, and Eastman Kodak. A frequent speaker at technical conferences, he has taught imaging courses for clients and universities for many years. He studied electrical engineering at Clarkson University, and completed his PhD in imaging science at RIT. 

Don Williams is founder of Image Science Associates, which focuses on quantitative imaging performance/fidelity evaluation for digital capture systems. His clients include national libraries, museums, and those with dental, mobile, and automotive applications. He contributes to several international standards activities. Williams studied imaging science at RIT, and previously worked at Eastman Kodak Research Labs.

Discounts given for multiple classes. See Registration Page for details to register.

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