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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Martin, M.A. Alberola, C. Sanz de Acedo, J. Ruiz-Alzola, J. |
| Copyright Year | 2001 |
| Description | Author affiliation: E.T.S.I.T., Valladolid Univ., Spain (Martin, M.A.; Alberola, C.; Sanz de Acedo, J.) |
| Abstract | In this paper we propose a multiresolution compression scheme applied to image and volume data. It is intended for rapid browsing in graphical files, in which some regions of interest may exist; therefore the compression algorithms focus on incorporating quick full-reconstruction procedures, both in images and volumes. This scheme is based on vector quantization of the coefficients of a wavelet decomposition. The differences in the methods lie on how vectors in the multiresolution decompositions are selected for vector quantization. We have also developed a client-server application using this scheme, which allows images with increasing levels of detail to be represented in the client system as they are received from the server and decoded. Numerical results show the performances of all the selections made. |
| Starting Page | 2437 |
| Ending Page | 2440 |
| File Size | 544051 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780372115 |
| ISSN | 1094687X |
| DOI | 10.1109/IEMBS.2001.1017270 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2001-10-25 |
| Publisher Place | Turkey |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image resolution Image coding Biomedical imaging Vector quantization Image databases Propagation losses Energy resolution Spatial resolution Wavelet domain Network servers |
| Content Type | Text |
| Resource Type | Article |
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