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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)
—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(More)
— Waves on the water surface create spatio-temporal 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)
Polarized light plays an important role in the underwater environment. Light that is scattered within the water is partially polarized. Biological and artificial systems can exploit this phenomenon. We aim to utilize this phenomenon in a new generation of underwater imaging systems in order to partially compensate for the loss of color and visibility. In(More)
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