Medical image compression using a fractal model with condensation

Abstract

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.<>