The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
Reversible intraframe compression of medical images
Abstract
The performance of several reversible, intraframe compression methods is compared by applying them to angiographic and magnetic resonance (MR) images. Reversible data compression involves two consecutive steps: decorrelation and coding. The result of the decorrelation step is presented in terms of entropy. Because Huffman coding generally approximates these entropy measures within a few percent, coding has not been investigated separately. It appears that a hierarchical decorrelation method based on interpolation (HINT) outperforms all other methods considered. The compression ratio is around 3 for angiographic images of 8-9 b/pixel, but is considerably less for MR images whose noise level is substantially higher.
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Citations
Cites
The Laplacian pyramid as a compact image code
Burt, P., & Adelson, E. (1983) · IEEE Transactions on Communications · doi:10.1109/tcom.1983.1095851 · Cited by 6,077
Cited by
De Vleeschouwer, C., Delaigle, J.-F., & Macq, B. (2003) · IEEE Transactions on Multimedia · doi:10.1109/tmm.2003.809729 · Cited by 417
Metadata
- Authors
- Roos, P., Viergever, M. A., van Dijke, M. C. A., & Peters, J. H.
- Venue
- IEEE Transactions on Medical Imaging
- Published
- 1988-12
- Volume
- 7
- Issue
- 4
- Pages
- 328-336
- ISSN
- 0278-0062 (ISSN-L)
- 1558-254X
- OpenAlex
- W2112864115
- Cited by
- 184
- References
- 1
- FWCI
- 7.77
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Reversible intraframe compression of medical images. https://app.cochat.ai/papers/10.1109/42.14516
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- Roos, P., Viergever, M. A., van Dijke, M. C. A., & Peters, J. H. (1988). Reversible intraframe compression of medical images. IEEE Transactions on Medical Imaging. https://doi.org/10.1109/42.14516
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
