In healthcare, AR/VR headsets with see-through technology aid in surgery by capturing and displaying the real-world environment using a stereo camera. The reproduction of the real world should be as authentic as possible to achieve high accuracy during the operation. Such cameras generally use short exposure times and small apertures to achieve a large depth of field, resulting in a low number of captured photons. Achieving optimal image quality involves judicious Image Signal Processing (ISP) tuning to find the best tradeoff between noise reduction and texture preservation. Moreover, reducing latency is crucial for matching VR scenery to head movements, which is why DXOMARK Analyzer provides a series of measurements that assesses the performance of cameras in terms of noise reduction, texture preservation, and timing. Analyzer also assesses such key image quality attributes as contrast, color fidelity, HDR capabilities and distortion to enhance high precision during surgeries.
DXOMARK Analyzer solution includes the Multispectral Lighting System (MLS) to simulate diverse lighting conditions by reproducing corresponding light spectra and intensities. This allows for assessing the image quality of AR/VR devices across various use cases.
Measurement and KPIs: