Significant medical image compression techniques: a review

Telemedicine applications allow the patient and doctor to communicate with each other through network services. Several medical image compression techniques have been suggested by researchers in the past years. This review paper offers a comparison of the algorithms and the performance by analysing...

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Bibliographic Details
Published in:Telkomnika 2021-10, Vol.19 (5), p.1612-1621
Main Authors: Abduljaleel, Iman Qays, Khaleel, Amal Hameed
Format: Article
Language:English
Subjects:
Algorithms
Compression ratio
Data loss
Efficiency
Fractals
Image compression
Image quality
Image segmentation
Magnetic resonance imaging
Medical imaging
Medical research
Methods
Wavelet transforms
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Summary:Telemedicine applications allow the patient and doctor to communicate with each other through network services. Several medical image compression techniques have been suggested by researchers in the past years. This review paper offers a comparison of the algorithms and the performance by analysing three factors that influence the choice of compression algorithm, which are image quality, compression ratio, and compression speed. The results of previous research have shown that there is a need for effective algorithms for medical imaging without data loss, which is why the lossless compression process is used to compress medical records. Lossless compression, however, has minimal compression ratio efficiency. The way to get the optimum compression ratio is by segmentation of the image into region of interest (ROI) and non-ROI zones, where the power and time needed can be minimised due to the smaller scale. Recently, several researchers have been attempting to create hybrid compression algorithms by integrating different compression techniques to increase the efficiency of compression algorithms.
ISSN:1693-6930
2302-9293
DOI:10.12928/telkomnika.v19i5.18767