TELKOMNIKA Telecommunication, Computing, Electronics and Control
Significant medical image compression techniques: a review

TELKOMNIKA Telecommunication, Computing, Electronics and Control
Significant medical image compression techniques: a review

Hybrid compression
Lossless compression
Lossy compression
Medical image
Region of interest

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.

Iman Qays Abduljaleel, Amal Hameed Khaleel

http://journal.uad.ac.id/index.php/TELKOMNIKA

Mar 30, 2021

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