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Introduction
Martin Müller | Field Application Engineer
What is Good Image Quality?
Explore what defines good image quality in the context of different applications. This webinar highlights the differences in image quality requirements between consumer electronics and industrial embedded vision systems, while offering practical methods to evaluate and improve RAW image quality.
11/12/2025 10:00 am
30 min
What you'll learn
Why smartphones often outshine industrial vision systems visually
How image quality is defined in each context
What makes RAW sensor data “good”
Ways to assess and improve optical performance
After the webinar, you’ll understand differences between quality requirements, evaluate RAW sensor data, and enhance visual quality in embedded and industrial vision systems.
Who should attend
If you are an embedded system engineer, computer vision or hardware developer, a product manager, or a camera/ISP tuning specialist, this webinar is designed for you.
Topics
This webinar explores the key differences between consumer electronics and embedded vision devices, explains how image quality is defined in each context, and examines why smartphone design -driven by human visual perception - contrasts with the machine-oriented requirements of embedded systems. We’ll also discuss what makes RAW sensor data “good” and offer practical ways to assess and improve quality.
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Human-eye vs. machine perception
Martin Müller | Field Application Engineer
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Ways to improve RAW image quality
Martin Müller | Field Application Engineer
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Discussion and Q&A
Martin Müller | Field Application Engineer
Webinar Sessions
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EMEA Sesion
11/12/2025 10:00 am – 10:30 am CET -
North America Session
11/12/2025 10:00 am – 10:30 am PDT
Our Experts for Your Success
Martin Müller
Field Application Engineer
FRAMOS
Martin Müller works as a Field Application Engineer at FRAMOS. He understands our customers’ requirements, provides technical consultation in the pre-sales phase, and develops solutions based on the FRAMOS offering by relying on his previous experience as a hardware developer and embedded vision consultant.