Golden Eye Assistant: Bringing Objectivity to Perceptual Image Quality Evaluation

DXOMARK introduces Golden Eye Assistant (GEA), an AI-powered solution designed to make perceptual image quality evaluation faster, more consistent, and scalable.

Image quality evaluation combines two complementary approaches: objective measurements and perceptual evaluation of real-life scenes. While objective data provides essential insights, human perception remains critical to understanding how images are experienced in real-world conditions.

However, perceptual evaluation can be time-consuming, difficult to scale, and subject to variability between evaluators. For smaller engineering teams, maintaining a qualified assessor panel can also be challenging.

Bringing structure to perceptual evaluation

Drawing on DXOMARK’s extensive annotated image database and years of expertise in perceptual image quality assessment, Golden Eye Assistant supports expert evaluators through a structured, guided workflow.

GEA is designed to help engineering and camera teams:

• Evaluate more efficiently by supporting large-scale perceptual analysis,
• Analyze a wider set of scenes and conditions, including complex real-life scenarios,
• Improve repeatability across teams and testing cycles,
• Reduce variability with data-driven insights,
• Focus on key differentiators during scene analysis.

GEA does not replace traditional laboratory testing. Instead, it complements objective measurements with scalable and consistent perceptual analysis, bringing greater structure and objectivity to a traditionally subjective process.

Discover how Golden Eye Assistant can support your image quality evaluation workflow!