Modern camera systems do far more than capture images. They provide the foundation for AI-powered functions, safety-critical decisions, and automated processes. As a result, the demands placed on their performance continue to grow.
However, good image quality is not defined solely by high resolution or low noise levels. What truly matters is which information a system can reliably capture, how its performance can be assessed objectively, and which quality metrics are actually relevant for a specific application.
In this issue, we explore the topic from three different perspectives:
We introduce our new membership in the Edge AI and Vision Alliance
However, good image quality is not defined solely by high resolution or low noise levels. What truly matters is which information a system can reliably capture, how its performance can be assessed objectively, and which quality metrics are actually relevant for a specific application.
In this issue, we explore the topic from three different perspectives:
We introduce our new membership in the Edge AI and Vision Alliance
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