Digital Camera Image Quality Tuning
Instructor: Luke Cui, Amazon
Level: Introductory
Duration: 4 hours total: two 2-hour sessions with a 15-minute break and 30-minute post-class discussion. This class takes place over two days.
Course Time:
Day 1 of 2:
New York: Wednesday 13 January, 18:30 – 20:45
Paris: Thursday 14 January, 00:30 – 02:45
Tokyo: Thursday 14 January, 08:30 – 10:45
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Day 2 of 2:
New York: Friday 15 January, 12:45 – 15:00
Paris: Friday 15 January, 18:45 – 21:00
Tokyo: Saturday 16 January, 02:45 – 05:00
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Benefits
This course enables the attendee to understand:
- Fundamentals of digital camera HW that impacts IQ that should define tuning goals and limitation.
- Functions and performance of a camera processing pipeline and why tuning is critical to final image quality of a digital camera.
- 3A tuning processes and why they are crucial to image quality.
- Objective image quality metrics and the automated 80% tuning.
- Tuning tools and process demo by the NomiCam.
- Subjective tuning workflow and management.
- Competitive benchmarking deep dive.
- 2020 top smartphone cameras IQ competitiveness analysis.
Digital camera image quality tuning is critical in the camera development process. It is an interdisciplinary field that is as much art as science. It is also a treacherous engineering process that is full of pseudoscience pitfalls and prone to engineering blunders. This course intends to prepare perspective professionals for that process starting from fundamental science and techniques to the evaluation of current competitive smartphone cameras.
Intended Audience
Camera and imaging engineers, scientists, students, and program managers.
Luke Cui has been hands-on working on imaging systems for more than thirty years with a BS in optics, MS in color science, and PhD in human vision. He has been involved with the delivery of numerous market proven digital imaging systems, working from photons, lenses, sensors, cameras, color science, imaging processing, image quality evaluation systems, to psychophysics and human vision. He has more than sixty patents and patent applications. He has worked for Macbeth Co. on standard lighting, color formulation, spectrophotometry, and colorimetry; led high speed document scanner optical imaging system development at Lexmark International, working from lens design to final image pipeline tuning; and led camera tuning of most Surface products on the market at Microsoft, covering from system specification, ISP evaluation, selection, and all phases of camera tuning. Currently, he is a principal imaging scientist at Amazon Prime Air, working on sensing systems for autonomous drones. Disclaimer: Opinions and content covered by the course are solely his own and do not express the views or opinions of his employer, past and present.
COST
by December 31:
member $135
non-member $150
student $70
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after December 31:
member $160
non-member $175
student $95 |
Discounts given for multiple classes. See Registration page for details and to register.
For office use only: