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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Meftah, A. Antonini, M. |
| Copyright Year | 2009 |
| Description | Author affiliation: I3S laboratory UMR 6070, University of Nice-Sophia Antipolis and CNRS, France (Meftah, A.; Antonini, M.) |
| Abstract | This paper introduces an efficient method to compute the wavelet transform for huge 3D volume data like seismic data or 3D medical images with minimum resources. This method consists in a local data processing while reducing considerably the memory requirements. The resulting wavelet transform is identical to the one obtained if the whole 3D object was stored in memory. Experimental results show that the proposed method permits to reduce the memory requirements to the minimum with a low computation time due to the low complexity algorithm. |
| Starting Page | 1 |
| Ending Page | 4 |
| File Size | 184222 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781424445936 |
| DOI | 10.1109/PCS.2009.5167423 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2009-05-06 |
| Publisher Place | USA |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wavelet transforms Filtering Low pass filters Laboratories Data processing Multiresolution analysis lifting scheme filter banks Data visualization Frequency Filter bank Scan-based wavelet transform multiresolution analysis Biomedical imaging |
| Content Type | Text |
| Resource Type | Article |
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