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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Munteanu, A. Cornelis, J. De Muynck, P. Cristea, P. |
| Copyright Year | 1997 |
| Description | Author affiliation: Dept. ETRO-IRIS, Vrije Univ., Brussels, Belgium (Munteanu, A.) |
| Abstract | The final diagnosis in coronary angiography has to be performed on the original images, therefore the lossless compression schemes play a key role in medical data base management and tele-diagnosis applications. This work proposes a wavelet based compression scheme that is able to operate in the lossless mode. The quantization module implements a new modality for the coding of the coefficient's significance map that is more effective than the classical zero-tree representation. The experimental results obtained on a set of 20 angiograms show that the algorithm outperforms with 0.38 bpp the embedded zero-tree coder combined with the lifting scheme, with 0.20 bpp the set partitioning coder and with 0.70 bpp the lossless JPEG. The scheme is a good candidate in applications like remote browsing through large image data sets and real-time archiving of coronary angiograms. |
| Starting Page | 183 |
| Ending Page | 186 |
| File Size | 600481 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780344456 |
| ISSN | 02766547 |
| DOI | 10.1109/CIC.1997.647861 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1997-09-07 |
| Publisher Place | Sweden |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image coding Wavelet transforms Wavelet coefficients Quantization Angiography Biomedical imaging Medical diagnostic imaging Image resolution Signal resolution Partitioning algorithms |
| Content Type | Text |
| Resource Type | Article |
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