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Review on Region of Interest Coding Techniques for Medical Image Compression

by Palak Jangbari, Dhruti Patel
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 134 - Number 10
Year of Publication: 2016
Authors: Palak Jangbari, Dhruti Patel
10.5120/ijca2016907859

Palak Jangbari, Dhruti Patel . Review on Region of Interest Coding Techniques for Medical Image Compression. International Journal of Computer Applications. 134, 10 ( January 2016), 1-5. DOI=10.5120/ijca2016907859

@article{ 10.5120/ijca2016907859,
author = { Palak Jangbari, Dhruti Patel },
title = { Review on Region of Interest Coding Techniques for Medical Image Compression },
journal = { International Journal of Computer Applications },
issue_date = { January 2016 },
volume = { 134 },
number = { 10 },
month = { January },
year = { 2016 },
issn = { 0975-8887 },
pages = { 1-5 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume134/number10/23947-2016907859/ },
doi = { 10.5120/ijca2016907859 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T23:34:20.214866+05:30
%A Palak Jangbari
%A Dhruti Patel
%T Review on Region of Interest Coding Techniques for Medical Image Compression
%J International Journal of Computer Applications
%@ 0975-8887
%V 134
%N 10
%P 1-5
%D 2016
%I Foundation of Computer Science (FCS), NY, USA
Abstract

Telemedicine is a field of medicine characterized by telecommunication for clinical health care and transmission of medical images and videos. For transmission, a huge bandwidth is required over the internet. The size of the images that belongs to a single patient is very large which contains resolution factor and diagnostic images. So there is a need for efficient compression techniques for compressing these medical images.The regions which are considered to be more important than others in medical images is known as a Region of Interest (ROI) e.g. tumor is ROI in brain MRI. In this work, the ROI is detected by the saliency map technique, after that targets or ROIs be coded at available bits while the remainder of the background or non-ROI part is coded using fewer bits.By this method, the target regions within the video frame or image will be well preserved while the number of bits needed to code the video sequence or images is reduced.Thus, the transmission bandwidth and storage requirements are reduced.

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Index Terms

Computer Science
Information Sciences

Keywords

Compression Region of Interest (ROI) Saliency Map

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