An Effective Method for e-Medical Data Compression Using Wavelet Analysis

Ibrahim Abdulai Sawaneh

doi:doi:10.11648/j.ijmi.20180603.12

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An Effective Method for e-Medical Data Compression Using Wavelet Analysis

Ibrahim Abdulai Sawaneh

Published in International Journal of Medical Imaging (Volume 6, Issue 3)

Received: 28 October 2018 Accepted: 13 November 2018 Published: 20 December 2018

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Abstract

The continuous utilization of massive patient data via telecommunication medium is raising a concern either in data transmission speed, storage, security and privacy. The introduction of Informatization, Internet of Things (IoT), Big Data Technology, and e-health require effective data compression techniques that will help solve the numerous challenges evident in the conventional medical image compression schemes. In order to successfully transmit medical data via the network of networks demands an efficient data compression mechanisms without reduction in the image quality with reduced size. This mechanism greatly minimizes costs, provides mobility and comfort to the users, increase speed in medical file transmission and lot of more. The research investigates the various medical image compression platforms so, as to achieve efficient and effective scheme. Medical image compression require more proactive scheme that maintains vital features of patients. Several compression methods were applied and Discrete Cosine Transform (DCT) proved to have a superior compression ratio as opposed to Discrete Wavelet Transform (DWT). The proposed study indicated that the recovered medical images had similar results compared to the original image data. Finally, the research mitigated data storage issue of hard drive, reduce transmission time, improved patient’s mobility and the high cost of medical hardware devices.

Published in	International Journal of Medical Imaging (Volume 6, Issue 3)
DOI	10.11648/j.ijmi.20180603.12
Page(s)	25-32
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), 2018. Published by Science Publishing Group

Keywords

Wavelet Transform, Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT)

References

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APA Style

Ibrahim Abdulai Sawaneh. (2018). An Effective Method for e-Medical Data Compression Using Wavelet Analysis. International Journal of Medical Imaging, 6(3), 25-32. https://doi.org/10.11648/j.ijmi.20180603.12

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ACS Style

Ibrahim Abdulai Sawaneh. An Effective Method for e-Medical Data Compression Using Wavelet Analysis. Int. J. Med. Imaging 2018, 6(3), 25-32. doi: 10.11648/j.ijmi.20180603.12

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AMA Style

Ibrahim Abdulai Sawaneh. An Effective Method for e-Medical Data Compression Using Wavelet Analysis. Int J Med Imaging. 2018;6(3):25-32. doi: 10.11648/j.ijmi.20180603.12

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@article{10.11648/j.ijmi.20180603.12,
  author = {Ibrahim Abdulai Sawaneh},
  title = {An Effective Method for e-Medical Data Compression Using Wavelet Analysis},
  journal = {International Journal of Medical Imaging},
  volume = {6},
  number = {3},
  pages = {25-32},
  doi = {10.11648/j.ijmi.20180603.12},
  url = {https://doi.org/10.11648/j.ijmi.20180603.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmi.20180603.12},
  abstract = {The continuous utilization of massive patient data via telecommunication medium is raising a concern either in data transmission speed, storage, security and privacy. The introduction of Informatization, Internet of Things (IoT), Big Data Technology, and e-health require effective data compression techniques that will help solve the numerous challenges evident in the conventional medical image compression schemes. In order to successfully transmit medical data via the network of networks demands an efficient data compression mechanisms without reduction in the image quality with reduced size. This mechanism greatly minimizes costs, provides mobility and comfort to the users, increase speed in medical file transmission and lot of more. The research investigates the various medical image compression platforms so, as to achieve efficient and effective scheme. Medical image compression require more proactive scheme that maintains vital features of patients. Several compression methods were applied and Discrete Cosine Transform (DCT) proved to have a superior compression ratio as opposed to Discrete Wavelet Transform (DWT). The proposed study indicated that the recovered medical images had similar results compared to the original image data. Finally, the research mitigated data storage issue of hard drive, reduce transmission time, improved patient’s mobility and the high cost of medical hardware devices.},
 year = {2018}
}

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TY  - JOUR
T1  - An Effective Method for e-Medical Data Compression Using Wavelet Analysis
AU  - Ibrahim Abdulai Sawaneh
Y1  - 2018/12/20
PY  - 2018
N1  - https://doi.org/10.11648/j.ijmi.20180603.12
DO  - 10.11648/j.ijmi.20180603.12
T2  - International Journal of Medical Imaging
JF  - International Journal of Medical Imaging
JO  - International Journal of Medical Imaging
SP  - 25
EP  - 32
PB  - Science Publishing Group
SN  - 2330-832X
UR  - https://doi.org/10.11648/j.ijmi.20180603.12
AB  - The continuous utilization of massive patient data via telecommunication medium is raising a concern either in data transmission speed, storage, security and privacy. The introduction of Informatization, Internet of Things (IoT), Big Data Technology, and e-health require effective data compression techniques that will help solve the numerous challenges evident in the conventional medical image compression schemes. In order to successfully transmit medical data via the network of networks demands an efficient data compression mechanisms without reduction in the image quality with reduced size. This mechanism greatly minimizes costs, provides mobility and comfort to the users, increase speed in medical file transmission and lot of more. The research investigates the various medical image compression platforms so, as to achieve efficient and effective scheme. Medical image compression require more proactive scheme that maintains vital features of patients. Several compression methods were applied and Discrete Cosine Transform (DCT) proved to have a superior compression ratio as opposed to Discrete Wavelet Transform (DWT). The proposed study indicated that the recovered medical images had similar results compared to the original image data. Finally, the research mitigated data storage issue of hard drive, reduce transmission time, improved patient’s mobility and the high cost of medical hardware devices.
VL  - 6
IS  - 3
ER  -

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Author Information

Ibrahim Abdulai Sawaneh

Department of Computer Science, Institute of Advanced Management and Technology (IAMTECH), Freetown, Sierra Leone

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APA Style

Ibrahim Abdulai Sawaneh. (2018). An Effective Method for e-Medical Data Compression Using Wavelet Analysis. International Journal of Medical Imaging, 6(3), 25-32. https://doi.org/10.11648/j.ijmi.20180603.12

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ACS Style

Ibrahim Abdulai Sawaneh. An Effective Method for e-Medical Data Compression Using Wavelet Analysis. Int. J. Med. Imaging 2018, 6(3), 25-32. doi: 10.11648/j.ijmi.20180603.12

Copy | Download

AMA Style

Ibrahim Abdulai Sawaneh. An Effective Method for e-Medical Data Compression Using Wavelet Analysis. Int J Med Imaging. 2018;6(3):25-32. doi: 10.11648/j.ijmi.20180603.12

Copy | Download

@article{10.11648/j.ijmi.20180603.12,
  author = {Ibrahim Abdulai Sawaneh},
  title = {An Effective Method for e-Medical Data Compression Using Wavelet Analysis},
  journal = {International Journal of Medical Imaging},
  volume = {6},
  number = {3},
  pages = {25-32},
  doi = {10.11648/j.ijmi.20180603.12},
  url = {https://doi.org/10.11648/j.ijmi.20180603.12},
  eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ijmi.20180603.12},
  abstract = {The continuous utilization of massive patient data via telecommunication medium is raising a concern either in data transmission speed, storage, security and privacy. The introduction of Informatization, Internet of Things (IoT), Big Data Technology, and e-health require effective data compression techniques that will help solve the numerous challenges evident in the conventional medical image compression schemes. In order to successfully transmit medical data via the network of networks demands an efficient data compression mechanisms without reduction in the image quality with reduced size. This mechanism greatly minimizes costs, provides mobility and comfort to the users, increase speed in medical file transmission and lot of more. The research investigates the various medical image compression platforms so, as to achieve efficient and effective scheme. Medical image compression require more proactive scheme that maintains vital features of patients. Several compression methods were applied and Discrete Cosine Transform (DCT) proved to have a superior compression ratio as opposed to Discrete Wavelet Transform (DWT). The proposed study indicated that the recovered medical images had similar results compared to the original image data. Finally, the research mitigated data storage issue of hard drive, reduce transmission time, improved patient’s mobility and the high cost of medical hardware devices.},
 year = {2018}
}

Copy | Download

TY  - JOUR
T1  - An Effective Method for e-Medical Data Compression Using Wavelet Analysis
AU  - Ibrahim Abdulai Sawaneh
Y1  - 2018/12/20
PY  - 2018
N1  - https://doi.org/10.11648/j.ijmi.20180603.12
DO  - 10.11648/j.ijmi.20180603.12
T2  - International Journal of Medical Imaging
JF  - International Journal of Medical Imaging
JO  - International Journal of Medical Imaging
SP  - 25
EP  - 32
PB  - Science Publishing Group
SN  - 2330-832X
UR  - https://doi.org/10.11648/j.ijmi.20180603.12
AB  - The continuous utilization of massive patient data via telecommunication medium is raising a concern either in data transmission speed, storage, security and privacy. The introduction of Informatization, Internet of Things (IoT), Big Data Technology, and e-health require effective data compression techniques that will help solve the numerous challenges evident in the conventional medical image compression schemes. In order to successfully transmit medical data via the network of networks demands an efficient data compression mechanisms without reduction in the image quality with reduced size. This mechanism greatly minimizes costs, provides mobility and comfort to the users, increase speed in medical file transmission and lot of more. The research investigates the various medical image compression platforms so, as to achieve efficient and effective scheme. Medical image compression require more proactive scheme that maintains vital features of patients. Several compression methods were applied and Discrete Cosine Transform (DCT) proved to have a superior compression ratio as opposed to Discrete Wavelet Transform (DWT). The proposed study indicated that the recovered medical images had similar results compared to the original image data. Finally, the research mitigated data storage issue of hard drive, reduce transmission time, improved patient’s mobility and the high cost of medical hardware devices.
VL  - 6
IS  - 3
ER  -

Copy | Download