IEEE Transactions on Visualization and Computer Graphics (Proc. PacificVis) 28, 6.
We present a novel image-based representation to interactively visualize large and arbitrarily structured volumetric data. This
image-based representation is created from a fixed view and models the scalar densities along each viewing ray. Then, any transfer
function can be applied and changed interactively to visualize the data. In detail, we transform the density in each pixel to the Fourier
basis and store Fourier coefficients of a bounded signal, i.e. bounded trigonometric moments. To keep this image-based representation
compact, we adaptively determine the number of moments in each pixel and present a novel coding and quantization strategy.
Additionally, we perform spatial and temporal interpolation of our image representation and discuss the visualization of introduced
uncertainties. Moreover, we use our representation to add single scattering illumination. Lastly, we achieve accurate results even with
changes in the view configuration. We evaluate our approach on two large volume datasets and a time-dependent SPH dataset.