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Fast synthesis of atmospheric image effects

This paper introduces a new method for adding synthetic atmospheric effects, such as haze and fog, to real RGBD images. The given depth maps are used to compute per-pixel transmission and and spatial frequency values, which determine the local contrast and blur, based on physical models of atmospheric absorption and scattering. A fast 2D inhomogeneous diffusion algorithm is developed, which is capable of computing and rendering the effects in real time. The necessary pre-processing methods, including sky identification and matting, are also explained. A GPU implementation is described, and evaluated on a range of RGBD data, including that from outdoor lidar and indoor structured light systems.