A Volume Compression Scheme Based on Block Division with Fast Cubic B-spline Evaluation

Author:

Zhao Kun,Sakamoto Naohisa,Koyamada Koji

Publisher

Springer Berlin Heidelberg

Reference16 articles.

1. Hou, H.S., Andrews, H.C.: Cubic splines for image interpolationand digital filtering. IEEE Trans. Acoust., Speech, and Signal Processing 26, 852–864 (1978)

2. Unser, M., Aldroubi, A., Eden, M.: B-spline signal processing: Part I-theory. IEEE Trans. Signal Processing 41, 821–832 (1993)

3. Unser, M., Aldroubi, A., Eden, M.: B-spline signal processing: Part II-efficient design and applications. IEEE Trans. Signal Processing 41, 834–848 (1993)

4. Unser, M.: Splines: A perfect fit for signal and image processing. IEEE Signal Processing Magazine 16, 22–38 (1999)

5. Wu, Q., Bajaj, C.L.: B-spline Representation for Volume Reconstruction. Techinical Report, Institute of Computational Engineering and sciences, The University of Texas at Austin (2003)

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1. Time-Varying Volume Compression in Spatio-Temporal Domain;Journal of Advanced Simulation in Science and Engineering;2015

2. Voting-based ensemble-averaging visualization for water mass distribution;Journal of Visualization;2014-12-13

3. Compression for Large-Scale Time-Varying Volume Data Using Spatio-temporal Features;Communications in Computer and Information Science;2013

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