Summary
We propose an iterative fairing method for scalar fields reducing the artifacts of bi- and trilinear interpolation. Our method reconstructs a two-dimensional scalar field from interpolation constraints optimizing the smoothness of its contours (isolines) based on vari- ational principles. It generalizes to the trivariate case and is used to increase the quality of data sets employing a cubic B-spline representation. In contrast to filtering methods, our ap- proach preserves the level of detail, enhancing features supported by the data while reducing interpolation artifacts.
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Bertram, M., Hagen, H. (2009). Reducing Interpolation Artifacts by Globally Fairing Contours. In: Möller, T., Hamann, B., Russell, R.D. (eds) Mathematical Foundations of Scientific Visualization, Computer Graphics, and Massive Data Exploration. Mathematics and Visualization. Springer, Berlin, Heidelberg. https://doi.org/10.1007/b106657_13
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DOI: https://doi.org/10.1007/b106657_13
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