基于分形模型的医学图像压缩

Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society Pub Date : 1994-11-03 DOI:10.1109/IEMBS.1994.412181

M. Loew, Dunling Li

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引用次数: 2

摘要

为了以有损的方式压缩医学图像，保留其诊断价值，作者将无损压缩技术与分形图像压缩方法结合起来，使用两种迭代函数系统:分区和凝聚模型。该算法似乎产生了约15:1的压缩比，而没有明显的退化。

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Medical image compression using a fractal model with condensation

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.<>

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Proceedings of 16th Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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