Image Processing for Human Understanding in Low-visibility.

摘要

Low-visibility conditions for navigation of vehicles are a frequent occurrence. Driving at night, in blizzards, in sand storms, or in fog form an obvious set of challenging conditions. Remote operation of unmanned vehicles through a camera image provides a similar difficulty. Gathering intelligence from satellite imagery can similarly benefit from improved visibility. Advanced image processing techniques (e.g., contrast enhancement or tone mapping) purport to improve the perceptual quality of images that lack the contrast or color depth perceived by the human visual system (HVS). Applying such an algorithm intelligently to these low-visibility conditions gives us the ability to provide a perceptually usable assisted-vision system.