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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
Register
What is Good Image Quality?

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.
1

Introduction

Martin Müller | Field Application Engineer

2

Human-eye vs. machine perception

Martin Müller | Field Application Engineer

3

Ways to improve RAW image quality

Martin Müller | Field Application Engineer

4

Discussion and Q&A

Martin Müller | Field Application Engineer

Webinar Sessions

  • EMEA Sesion

    11/12/2025 10:00 am – 10:30 am CET
    Register

  • North America Session

    11/12/2025 10:00 am – 10:30 am PDT
    Register

Our Experts for Your Success

Martin Müller
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.