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.
| Published in |
Science Journal of Education (Volume 3, Issue 4-1)
This article belongs to the Special Issue Science Learning in Higher Education |
| DOI | 10.11648/j.sjedu.s.2015030401.14 |
| Page(s) | 17-20 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2015. Published by Science Publishing Group |
Super spatial Structure Prediction, Inverse Diamond Search, LZ8
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APA Style
L. Nirmal Jega Selvi. (2015). Medical Image Compression Using DEFLATE Algorithm. Science Journal of Education, 3(4-1), 17-20. https://doi.org/10.11648/j.sjedu.s.2015030401.14
ACS Style
L. Nirmal Jega Selvi. Medical Image Compression Using DEFLATE Algorithm. Sci. J. Educ. 2015, 3(4-1), 17-20. doi: 10.11648/j.sjedu.s.2015030401.14
AMA Style
L. Nirmal Jega Selvi. Medical Image Compression Using DEFLATE Algorithm. Sci J Educ. 2015;3(4-1):17-20. doi: 10.11648/j.sjedu.s.2015030401.14
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Download@article{10.11648/j.sjedu.s.2015030401.14,
author = {L. Nirmal Jega Selvi},
title = {Medical Image Compression Using DEFLATE Algorithm},
journal = {Science Journal of Education},
volume = {3},
number = {4-1},
pages = {17-20},
doi = {10.11648/j.sjedu.s.2015030401.14},
url = {https://doi.org/10.11648/j.sjedu.s.2015030401.14},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.sjedu.s.2015030401.14},
abstract = {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.},
year = {2015}
}
TY - JOUR T1 - Medical Image Compression Using DEFLATE Algorithm AU - L. Nirmal Jega Selvi Y1 - 2015/06/01 PY - 2015 N1 - https://doi.org/10.11648/j.sjedu.s.2015030401.14 DO - 10.11648/j.sjedu.s.2015030401.14 T2 - Science Journal of Education JF - Science Journal of Education JO - Science Journal of Education SP - 17 EP - 20 PB - Science Publishing Group SN - 2329-0897 UR - https://doi.org/10.11648/j.sjedu.s.2015030401.14 AB - 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. VL - 3 IS - 4-1 ER -
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