APPLICATIONS
Powering innovation for the next generation of AI technologies.
Challenge
To enhance their smartphone’s camera capabilities, the client required extensive low-light photography data.
Outcome
The resulting dataset enabled the client to optimize their camera’s performance, significantly improving image quality in challenging light environments.
Enabling Smarter Algorithms
Low-Light Photo Data for Smartphone Camera Development.
Solution
A team of professional photographers was recruited to collect diverse, high-quality low-light images under controlled conditions.
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Computational photography
Optimizing sensors and algorithms for diverse environments and conditions.
Overview
Smartphones dominate the photography landscape, making exceptional image quality in compact devices a critical consumer expectation. Computational photography relies on real-world data from a wide array of challenging environments to refine sensors and algorithms, ensuring that photos remain stunning, no matter the lighting, movement, or cultural context.
HDR imaging
Portrait mode
Depth mapping
Motion interpolation
Low light performance
Bayer filter processing
Image/video stabilization
Image/video segmentation
Image/video upscaling
Skin tone rendering
Plenoptic imaging
Dynamic focus