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Achieving Image Compression in Medical Imaging using Baseline Approach

Jimoh Abdul Ganiyu*, Ajayi Olusola Olajide**, Orimoloye Segun Michael ***, Aju Omojokun Gabrielis****

* - **** Department of Computer Science, Adekunle Ajasin University, Akungba–Akoko, Ondo, Nigeria.

Periodicity:January - March'2020
DOI : https://doi.org/10.26634/jip.7.1.16918

Abstract

Telemedicine aims at providing a reliable and quality health care for continuous diagnosis and to provide patients care and treatment at an affordable cost. Compression is a process used to reduce the physical size of the information, resulting in minimum space usage. The time taken for transmission and bandwidth on the network are reduced. Compression of medical images is an area and process that ensures the dividend of telemedicine. This study takes in- depth look into the development and enhancement of the work done by other authors, and therefore focuses on a baseline image for compressing medical images. The study adopted a digital image processing approach with appropriate encoding algorithm, designated one of these images as a baseline image, computes the difference between the baseline image and the other images, and then lossless compress them. The results of the findings show that lossless compression technique with compression rate greater than 4.0, provides better compression accuracy compared to a compression rate less than 4.0.

Keywords

Telemedicine, Medical Imaging Compression, Encryption Algorithm, Health Care, Patient Care, Images.

How to Cite this Article?

Ganiyu, J. A., Olajide, A. O., Michael, O. S., and Gabrielis, A. O. (2020). Achieving Image Compression in Medical Imaging using Baseline Approach. i-manager's Journal on Image Processing , 7(1), 15-23. https://doi.org/10.26634/jip.7.1.16918

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Achieving Image Compression in Medical Imaging using Baseline Approach

Abstract

Keywords

How to Cite this Article?

References

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