Camera Image Quality Benchmarking
Instructor: Jonathan Phillips, Imatest
Level: Introductory
Duration: 2 hours
Course Date/Time: Tuesday 17 January 08:30 -10:30

Benefits:
This course enables the attendee to:

• Identify defects that degrade image quality in natural images and what component of the camera that may be improved for better image quality.
• Be aware of existing image quality standards and metrics.
• Understand how to judge the overall image quality of a camera.
• Evaluate the impact various output use cases can have on overall image quality.
• Describe an image quality lab and measurement protocols.
• Understand how to compare the image quality of a set of cameras.

Course Description:
The purpose of this course is to show that it is possible to compare the image quality of consumer imaging systems in a perceptually relevant manner. Because image quality is multi-faceted, generating a concise and relevant evaluative summary of photographic systems can be challenging. Indeed, benchmarking the image quality of still and video imaging systems requires that the assessor understands not only the capture device itself, but also the imaging applications for the system. This course explains how objective metrics and subjective methodologies are used to benchmark image quality of photographic still image and video capture devices. The course reviews key image quality attributes and the flaws that may degrade those attributes. Content touches on various subjective evaluation methodologies as well as objective measurement methodologies relying on existing standards from sources such as ISO and IEEE. The course focus is on consumer imaging systems, so the emphasis is on the value of using objective metrics, which are perceptually correlated, and how to generate benchmark data from the combination of objective and subjective metrics.

Intended Audience:
Image scientists, engineers, or managers who wish to learn more about image quality and how to evaluate still and video cameras for various applications.

Jonathan Phillips is VP of Imaging Science at Imatest, a leading company in image quality testing based in Boulder, Colorado that supports camera development for many of the world’s top companies across many industries, including automotive, mobile electronics, security, aerospace, and medical imaging. Prior to joining Imatest, he was the leader of image quality in Google’s Android organization from 2015 to 2021, particularly focused on the Google Pixel camera and display image quality. His experience in Silicon Valley has also included managing the camera image quality lab at NVIDIA, where his work centered on optimizing the Tegra chip ISP for smartphone cameras from 2012 to 2015. Jonathan worked at Kodak from 1990 to 2012 as a key player in the photography transition from analog to digital, switching from processing in the darkroom to working on digital imaging devices and printers. Kodak sponsored his Master’s and PhD work in color science at Rochester Institute of Technology’s Munsell Color Science Laboratory. His undergraduate studies in chemistry and music were at Wheaton College (Illinois). Jonathan is the co-author of numerous technical papers, patents, IEEE and ISO photography standards, and his book, "Camera Image Quality Benchmarking," part of the the Wiley-IS&T Series in Imaging Science and Technology.

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

For office use only: