What Is Image Quality? - Vision Campus

When assessing the image quality of different cameras, you will come across terms like sensor and pixel size, noise, signal to noise ratio, dynamic range, quantum efficiency, resolution, and the like. Perhaps you compare all these values in the cameras’ EMVA1288 datasheets, but how can you tell what value would lead to better image quality in precisely your application?
In the latest Vision Campus (www.vision-camp...) video our expert Thies Moeller explains how image quality can be defined and how you can evaluate the image quality of different cameras. In most cases, an amateur photographer would define the term “image quality” differently than a vision system operator. While an amateur might find an image good as long as it’s sufficiently bright and sharp, a vision system expert will most certainly think twice about the image quality his system delivers. Practical examples help make the complex issue of image quality in a vision system a comprehensible and easy-to-understand topic.
What is image quality?
0:10 Introduction
00:43 EMVA1288
01:37 Quantum efficiency (QE)
02:52 Sensor sizes
03:00 Number of pixels
03:49 Pixel sizes
03:54 Example: Pixel collecting photons
05:13 Dynamic range
05:28 Example: Dynamic range - correct bright and dark image details
05:38 Example: Dynamic range - traffic camera
06:05 Image noise
06:16 Signal to noise ratio (SNR)
06:25 Example: SNR - Good and bad music signal
07:09 CMOS sensor technology
07:52 Example: Sharpness and contrast - Barcode reading
08:06 Assess two or more different cameras
08:25 Comparable conditions
09:20 Conclusion and key criteria
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