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Proceedings Paper

Interactive wavelet-based image compression with arbitrary region preservation
Author(s): Armando Manduca
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Paper Abstract

We have developed a software module which performs 2-D and 3-D image compression based on wavelet transforms. The compression is not lossless, but the software allows the user to interactively determine the degree of compression (by viewing the results) and to interactively define specific regions of the image -- of any size and shape -- that are to be preserved with full fidelity while the rest of the image is compressed (again, viewing the results). These capabilities may be of interest in applications such as teleradiology.

Paper Details

Date Published: 22 September 1992
PDF: 12 pages
Proc. SPIE 1808, Visualization in Biomedical Computing '92, (22 September 1992); doi: 10.1117/12.131095
Show Author Affiliations
Armando Manduca, Mayo Clinic (United States)


Published in SPIE Proceedings Vol. 1808:
Visualization in Biomedical Computing '92

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