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In this paper, we demonstrate three-dimensional (3D) visualization of objects in turbid water. The sensing is performed by integral imaging. Multi-perspectives images are degraded due to light scattering and are treated by statistical image processing and computational 3D reconstruction algorithms to remedy the effects of scattering and to visualize the 3D scene. Reconstruction distances and underwater elemental images are calculated according to Snell's law. To the best of our knowledge, this is the first report on 3D reconstruction of objects in turbid water using integral imaging. Experimental results are presented.