Abstract

Image distortions caused by atmospheric turbulence are often treated as unwanted noise or errors in many image processing studies. Our study, however, shows that in certain scenarios the turbulence distortion can be very helpful in enhancing image processing results. This paper describes a novel approach that uses the scintillation traits recorded on a video clip to perform object ranging with reasonable accuracy from a single camera viewpoint. Conventionally, a single camera would be confused by the perspective viewing problem, where a large object far away looks the same as a small object close by. When the atmospheric turbulence phenomenon is considered, the edge or texture pixels of an object tend to scintillate and vary more with increased distance. This turbulence induced signature can be quantitatively analyzed to achieve object ranging with reasonable accuracy. Despite the inevitable fact that turbulence will cause random blurring and deformation of imaging results, it also offers convenient solutions to some remote sensing and machine vision problems, which would otherwise be difficult.

© 2018 Optical Society of America

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Supplementary Material (3)

NameDescription
» Visualization 1       Static object ranging result when the truck is parked 280 m away from the camera.
» Visualization 2       Moving object ranging result when the truck is driven from 285 to 400 m away from the camera.
» Visualization 3       Moving object ranging result when the truck is driven from 500 to 707 m away from the camera.

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