Image analysis – Applications – Biomedical applications
Reexamination Certificate
2005-03-03
2010-06-22
Johns, Andrew W (Department: 2624)
Image analysis
Applications
Biomedical applications
C382S154000
Reexamination Certificate
active
07742631
ABSTRACT:
High frequency signals cannot be reconstructed properly from sampled data if the sampling frequency lies below the Nyquist rate. The invention addresses this problem by choosing few additional sample points along a trajectory intersecting the region comprising the high frequency signals, such as an edge. Intermediate rendering data is used to determine the additional sample points. Therefore, according to an exemplary embodiment of the present invention, 4 adaptively chosen sample points per pixel may provide a visual quality comparable to 16 times super-sampling, but at a much lower computational cost.
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Lin et al., “An Anti-Aliasing Method for Parallel Rendering,” IEEE Proc. Computer Graphics Int'l '98, Jun. 22-26, 1998, pp. 228-235.
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Busch Marc
Kiefer Gundolf
Lehmann Helko
Weese Jurgen
Johns Andrew W
Koninklijke Philips Electronics , N.V.
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