| Grosso, R., and Ertl, T. Biorthogonal wavelet filters for frequency domain volume rendering. In Proceedings of Visualization in Scientific Computing '95 (1995), J. van Wijk, R. Scateni, and P. Zanarini, Eds. |
....slice will, in general, not coincide with the samples of the frequency response and interpolation in frequency domain is even more sensitive to imperfect reconstruction filters than interpolation in spatial domain. Malzbender [8] proposed to use a Hamming windowed sinc filter, Grosso and Ertl [4] investigated the use of biorthogonal wavelet filters. The outline of the paper is as follows: in Sec. 2 definitions of the Fourier and Hartley transform are given and a few properties are briefly summarized. Sec. 3 concentrates on the projection slice theorem and in Sec. 4 we summarize the ....
Roberto Grosso and Thomas Ertl. Biorthogonal wavelet filters for frequency domain volume rendering. In R. Scateni, J. van Wijk, and P. Zanarini, editors, Visualization in Scientific Computing '95, pages 81--95. Springer, Wien, New York, 1995.
No context found.
Grosso, R., and Ertl, T. Biorthogonal wavelet filters for frequency domain volume rendering. In Proceedings of Visualization in Scientific Computing '95 (1995), J. van Wijk, R. Scateni, and P. Zanarini, Eds.
No context found.
Grosso, R., and Ertl, T. Biorthogonal wavelet filters for frequency domain volume rendering. In Proceedings of Visualization in Scientific Computing '95 (1995), J. van Wijk, R. Scateni, and P. Zanarini, Eds.
No context found.
Grosso, R., and Ertl, T. Biorthogonal wavelet filters for frequency domain volume rendering. In Proceedings of Visualization in Scientific Computing '95 (1995), J. van Wijk, R. Scateni, and P. Zanarini, Eds.
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