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Medical image compression technique for telemedicine applications


Article Information

Title: Medical image compression technique for telemedicine applications

Authors: Omar Al Shorman

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2020

Volume: 15

Issue: 18

Language: English

Categories

Abstract

In the Internet of medical things (IoMT) and big data era, medical image compression is crucial in today’s world. Importantly, compression of large sized medical images is required for everyday tasks, including, storage space utilization and transmission bandwidth of healthcare systems and internet transmissions. However, in this paper, Modified Run Length Encoding (MRLE) is applied as a lossless compression and fast technique to compress medical images. RLE is applied to further increase the compression factor. The goal of using RLE is to enhance the compression factor without adding any distortion to the resultant decompressed image. Since, in healthcare systems and medicine applications, it is necessary to obtain high quality of the decompressed image. Moreover, MRLE is used to enhance the original RLE algorithm. The Block-Block scanning technique will be applied. Thus, this technique produces high efficiency compared with previous RLE techniques. The medical image is divided into equivalent blocks, where, the pixels inside each block are either scanned vertically or horizontally and all blocks together are also scanned vertically or horizontally. In the produced vector, the similar run of the same pixels' value will merge to reduce the size of the output vector. Importantly, the results of the proposed algorithm are shown to be comparable in quality and performance with other existing medical image compression methods.


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