Abstract

Underwater imaging over a dynamic water surface suffers from circular\ndistortions prevalent in the fluid flow. We address the problem of motion let degradation\nduring image formation in underwater dynamic refractive medium, experimented on swim\nart marshalling motion lets. We inspect the causes of motion distortion prominent through\nwater turbulence, cyclic ripples in unidirectional water flow and refraction of light during\nimaging as light rays pass through air-fluid surface. The primary objective taken as a\nresearch outfront is finding appropriate technique to estimate point spread function of\ndegraded framelets in underwater imaging. In evaluation of point spread function of\ndegraded image, we have formulated an underwater image degradation model to measure\nmotion blur on the basis of Jaffe-McGlamery theory, first accomplished in the UNCLES\n(Underwater Camera Light Experimentation System) imaging system. To measure the blur\nkernel, we designed a novel point spread function estimation algorithm compatible to the\nJaffe-McGlamery underwater imaging system as a part of theoretical and experimental\nfindings.