Rendering of Synthetic Underwater Images Towards Restoration

In this paper, we propose to render synthetic underwater images considering revised image formation model, towards modeling restoration. Underwater images suffer from low contrast, color cast and haze due to dynamically varying properties of water, floating particles and submerged sediments. Due to this, light reaching the object, from the surface is subjected to direct scattering, backscattering and forward scattering. We propose to model this varying nature of light to render synthetic underwater images based on depth information and inherent optical properties of Jerlov water types.