Title :
Medical image compression using a fractal model with condensation
Author :
Loew, Murray H. ; Li, Dunling
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., George Washington Univ., Washington, DC, USA
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
Keywords :
data compression; fractals; medical image processing; algorithm; compression ratio; condensation model; diagnostic value preservation; fractal model; imperceptible degradation; iterated function systems; lossless compression techniques; medical diagnostic imaging; medical image compression; partitioned system; Biomedical imaging; Degradation; Fractals; Humans; Image coding; Image reconstruction; Medical diagnostic imaging; Partitioning algorithms; Pixel; Visual perception;
Conference_Titel :
Engineering in Medicine and Biology Society, 1994. Engineering Advances: New Opportunities for Biomedical Engineers. Proceedings of the 16th Annual International Conference of the IEEE
Print_ISBN :
0-7803-2050-6
DOI :
10.1109/IEMBS.1994.412181
