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Medical image compression using a fractal model with condensation

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2 Author(s)
M. H. Loew ; Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC, USA ; Dunling Li

To compress medical images in a lossy way that preserves their diagnostic value, the authors have combined lossless compression techniques with a fractal image compression method using two kinds of iterated function systems: partitioned, and condensation-model. The algorithm appears to yield a compression ratio of about 15:1 without perceptible degradation

Published in:

Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE

Date of Conference:

3-6 Nov 1994