AN EFFECTIVE METHOD FOR E-MEDICAL DATA COMPRESSION USING WAVELET ANALYSIS

Ing Ibrahim Abdulai Sawaneh

IBRAHIM ABDULAI SAWANEH

DIRECTOR OF ACADEMIC AFFAIRS - IAMTECH

AUTHOR: IBRAHIM ABDULAI SAWANEH, DIRECTOR OF ACADEMIC AFFAIRS AT THE INSTITUTION OF ADVANCED MANAGEMENT AND TECHNOLOGY - IAMTECH

19th December, 2018

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, etc. and others in e-health require an 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 mechanism without reduction in the image quality with reduced size. This mechanism greatly minimize costs, provides mobility and comfort to the users, increase speed in medical file transmission etc.

The research investigates the various medical image compression platforms so, as to derived with the most 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) and Huffman coding. The proposed study indicated that the recovered medical images had similar result compared to the original image data.  Finally, the research mitigated the space storage issue of hard disks, reduce transmission time, improved on patient’s mobility and the high cost of medical hardware devices.

KEYWORDS

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

REFERENCES

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