1 July 1992 Maximizing image variance in rendering of volumetric data sets
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An algorithm is presented for rendering of volumetric data sets. The aim of the algorithm is to maximize the image variance in a volumetric rendering where a three-dimensional data set is projected onto a view plane through the perspective mapping. The pixel values in the rendered image are associated with a variable size attribute vector extracted along a line in the volumetric data set. Several algorithms are presented for transforming this variable size attribute vector into a fixed size attribute vector. The fixed size attribute vectors provide a multispectral image representation, which is processed with the Karhunen-Loève transformation in order to separate the information content into orthogonal components that are ordered according to the associated eigenvalues. The components in the Karhunen-Loève transform can be displayed individually as intensity images or three components can be selected and mapped into a coloring scheme such as the hue-saturation-value color model.
Bjoern Olstad, Bjoern Olstad, } "Maximizing image variance in rendering of volumetric data sets," Journal of Electronic Imaging 1(3), (1 July 1992). https://doi.org/10.1117/12.60032 . Submission:

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