Golden Eye Assistant (GEA)

Perceptual image quality assessment is a critical component of evaluating imaging performance. However, it usually comes with significant challenges:  

Powered by AI and trained on DXOMARK’s extensive, pre-annotated image database, the solution is capable of:

These limitations can impact the consistency, efficiency, and reliability of your image quality analysis. At the end of the spectrum, it also impacts the imaging quality consumers actually get in their hands.

To address these challenges, DXOMARK has developed an innovative solution, the Golden Eye Assistant, an AI-powered solution designed to automate and standardize perceptual image quality evaluation.  

Golden Eye Assistant complements traditional image quality testing in a lab by delivering objective, repeatable, and scalable perceptual analysis without the need for a manual assessment.  

Golden Eye Assistant analyzes images of real-world scenes and generates JOD (Just Objectionable Differences) values and detailed metrics for each image quality attribute.  

It is fully integrated into your workflow, enabling fast and consistent analysis across large datasets.