Abstract
Due to the huge volumes of radiographic images to be managed in hospitals, efficient compression techniques yielding no perceptual loss in the reconstructed images are becoming a requirement in the storage and management of such datasets. A wavelet-based multi-scale vector quantization scheme that generates a global codebook for efficient storage and transmission of medical images is presented in this paper. The results obtained show that even at low bit rates one is able to obtain reconstructed images with perceptual quality higher than that of the state-of-the-art scalar quantization method, the set partitioning in hierarchical trees.
Original language | English |
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Pages (from-to) | 96-107 |
Number of pages | 12 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 4685 |
DOIs | |
State | Published - 2002 |
Event | Medical Imaging 2002 PACS and Integrated Medical Information Systems: Design and Evaluation - San Diego, CA, United States Duration: Feb 26 2002 → Feb 28 2002 |
Keywords
- Efficient storage and transmission
- High fidelity reconstructed images
- Multi-scale vector extraction
- Vector quantization
- Wavelet-based image compression