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Underwater imaging is important for scientific research and technology as well as for popular activities, yet it is plagued by poor visibility conditions. In this paper, we present a computer vision approach that removes degradation effects in underwater vision. We analyze the physical effects of visibility degradation. It is shown that the main degradation(More)
Underwater imaging is important for scientific research and technology, as well as for popular activities. We present a computer vision approach which easily removes degradation effects in underwater vision. We analyze the physical effects of visibility degradation. We show that the main degradation effects can be associated with partial polarization of(More)
Waves on the water surface create spatiotemporal illumination patterns underwater. Concave regions on the surface diverge light rays refracting into the water, while convex regions create convergence of rays (caustics). Therefore, the natural illumination of underwater objects is spatially varying. Moreover, in shallow water this nonuniform intensity(More)
We devise a computer vision approach which removes degradation effects in optical underwater imaging. It exploits natural illumination. By analysis of the physical effects of visibility degradation, we associate natural backscatter with partial polarization of light. This is contrary to prior studies which have associated polarization with light emanating(More)
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