Medical Image Compression Using DEFLATE Algorithm
Science Journal of Education
Volume 3, Issue 4-1, August 2015, Pages: 17-20
Received: May 16, 2015; Accepted: May 18, 2015; Published: Jun. 1, 2015
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L. Nirmal Jega Selvi, Department of CSE, St. Joseph College of Engineering and Technology, Dar es Salaam, United Republic of Tanzania
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Lossless image compression has one of its important applications in the field of medical images. Efficient storage, transmission, management and retrieval of the huge data produced by the medical images have nowadays become very much complex. The solution to this complex problem lies in the lossless compression of the medical images. The medical data is compressed in such a way so that no medical information is lost. The super spatial structure prediction algorithm is used to find the optimal prediction of structured components in an image. The block matching is achieved using inverse diamond search algorithm. And finally LZ8 algorithm is applied to achieve the higher compression ratio of the medical images.
Super spatial Structure Prediction, Inverse Diamond Search, LZ8
To cite this article
L. Nirmal Jega Selvi, Medical Image Compression Using DEFLATE Algorithm, Science Journal of Education. Special Issue: Science Learning in Higher Education. Vol. 3, No. 4-1, 2015, pp. 17-20. doi: 10.11648/j.sjedu.s.2015030401.14
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