Carnegie Mellon University robotics researcher Vladimir Brajovic has developed a tool that automatically improves the appearance of darkened or underexposed photographs by digitally adding light to dark areas.
The Shadow Illuminator, funded through a $350,000 grant from the National Science Foundation, was developed originally to help robots see better. Using principles based on the physics of how optical images are formed, Shadow Illuminator imitates the vision processes that take place in the human eye. It examines the content of a photograph, estimates the illumination conditions and then brightens shadows. It also enhances details within the shadow.
"Shadow Illuminator is intelligent and works consistently for all pictures," said Brajovic, director of the Computational Sensor Laboratory in Carnegie Mellons Robotics Institute. "It provides the same results quickly and eliminates the hassle of manually adjusting photographs."
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