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In this paper prefiltered reconstruction techniquesare evaluated for volume-rendering applications. All the analyzedmethods perform a discrete prefiltering as a preprocessing of theinput samples in order to improve the quality of the continuousreconstruction afterwards. Various prefiltering schemes havebeen proposed to fulfill either spatial-domain or frequencydomaincriteria. According to our best knowledge, however, theirthorough comparative study has not been published yet. Thereforewe derive the frequency responses of the different prefilteredreconstruction techniques to analyze their global behavior suchas aliasing or smoothing. Furthermore, we introduce a novelmathematical basis to compare also their spatial-domain behaviorin terms of the asymptotic local error effect. For the sake of faircomparison, we use the same linear and cubic B-splines as basisfunctions but combined with different discrete prefilters. Ourgoal with this analysis is to help the potential users to select theoptimal prefiltering scheme for their specific applications.
Filtering, Sampling, Volume Visualization

B. Csébfalvi, "An Evaluation of Prefiltered Reconstruction Schemes for Volume Rendering," in IEEE Transactions on Visualization & Computer Graphics, vol. 14, no. , pp. 289-301, 2007.
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