Three-dimensional imaging of objects in scattering medium by using statistical image processing

In this paper, three-dimensional (3D) imaging of objects in scattering medium is presented. Synthetic Aperture Integral Imaging (SAII) technique is used to record multiple images with different perspectives. Each recorded image is degraded by light scattering. This degradation function can be modeled by Gaussian Theory. The unknown parameter mean of Gaussian distribution can be estimated by using Maximum Likelihood Estimation (MLE). The effects of scattering can be remedied by using estimated degradation function and statistical image processing techniques such as histogram stretching and matching. 3D scene can be visualized by computational 3D reconstruction algorithms of integral imaging. To show the ability of 3D object visualization in scattering medium, experimental results are presented.