A review on region of interest-based hybrid medical image compression algorithms

[...]the medical image must be compressed and sent securely through the network in the system. [...]compression has attained much attention in medical images. [...]section 5 gives the final remarks of the paper. 2.MEDICAL IMAGE COMPRESSION Medical images contain a great deal of information that is n...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Telkomnika 2020-06, Vol.18 (3), p.1650-1657
Hauptverfasser: Aziz, Suhaila Ab, Sam, Suriani Mohd, Mohamed, Norliza, Daud, Salwani Mohd, Rashid, Siti Zaleha Abdul, Abas, Hafiza, Yusof, Muhammad Fathi, Dziyauddin, Rudzidatul Akmam
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1657
container_issue 3
container_start_page 1650
container_title Telkomnika
container_volume 18
creator Aziz, Suhaila Ab
Sam, Suriani Mohd
Mohamed, Norliza
Daud, Salwani Mohd
Rashid, Siti Zaleha Abdul
Abas, Hafiza
Yusof, Muhammad Fathi
Dziyauddin, Rudzidatul Akmam
description [...]the medical image must be compressed and sent securely through the network in the system. [...]compression has attained much attention in medical images. [...]section 5 gives the final remarks of the paper. 2.MEDICAL IMAGE COMPRESSION Medical images contain a great deal of information that is necessary for diagnosis by doctors and medical professionals. The study shows that both compressions had significant advantages and disadvantages in the field of data compression. [...]the hybrid image compression techniques have been introduced by manipulating the benefits of these two techniques to get the maximum impact [13]. [...]the region of interest (ROI) is present to resolve this issue.
doi_str_mv 10.12928/telkomnika.v18i3.14900
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2410839222</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2410839222</sourcerecordid><originalsourceid>FETCH-LOGICAL-c254t-71bbc1046bebd189c44fa6c165db6d8b33685b6a6e720d7b9aa3aaa058b1b7db3</originalsourceid><addsrcrecordid>eNpFkMtqwzAQRUVpoSHNN1TQtV09bFlahtAXBNpFuxZ6OVFiW6nkpOTvqySFDgx3FndmLgeAe4xKTAThj6PrtqEf_FaVB8w9LXElELoCE0IRKQQR9BpMMBO0yI1uwSylDcrVIFILPgEfcxjdwbsfGIY8rXyW0EI_jC66NBZaJWfh-qijt7B31hvVQd-rlYMm9LvsSacV1a1C9OO6T3fgplVdcrM_nYKv56fPxWuxfH95W8yXhSF1NRYN1tpgVDHttMVcmKpqFTOY1VYzyzWljNeaKeYagmyjhVJUKYVqrrFurKZT8HC5u4vhe5-jyk3YxyG_lKTCiFNBCMmu5uIyMaQUXSt3MaePR4mRPBOU_wTlmaA8E6S_zndpbA</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2410839222</pqid></control><display><type>article</type><title>A review on region of interest-based hybrid medical image compression algorithms</title><source>EZB-FREE-00999 freely available EZB journals</source><creator>Aziz, Suhaila Ab ; Sam, Suriani Mohd ; Mohamed, Norliza ; Daud, Salwani Mohd ; Rashid, Siti Zaleha Abdul ; Abas, Hafiza ; Yusof, Muhammad Fathi ; Dziyauddin, Rudzidatul Akmam</creator><creatorcontrib>Aziz, Suhaila Ab ; Sam, Suriani Mohd ; Mohamed, Norliza ; Daud, Salwani Mohd ; Rashid, Siti Zaleha Abdul ; Abas, Hafiza ; Yusof, Muhammad Fathi ; Dziyauddin, Rudzidatul Akmam</creatorcontrib><description>[...]the medical image must be compressed and sent securely through the network in the system. [...]compression has attained much attention in medical images. [...]section 5 gives the final remarks of the paper. 2.MEDICAL IMAGE COMPRESSION Medical images contain a great deal of information that is necessary for diagnosis by doctors and medical professionals. The study shows that both compressions had significant advantages and disadvantages in the field of data compression. [...]the hybrid image compression techniques have been introduced by manipulating the benefits of these two techniques to get the maximum impact [13]. [...]the region of interest (ROI) is present to resolve this issue.</description><identifier>ISSN: 1693-6930</identifier><identifier>EISSN: 2302-9293</identifier><identifier>DOI: 10.12928/telkomnika.v18i3.14900</identifier><language>eng</language><publisher>Yogyakarta: Ahmad Dahlan University</publisher><subject>Algorithms ; Bandwidths ; Data compression ; Image compression ; Image manipulation ; Information systems ; Magnetic resonance imaging ; Medical imaging ; Physicians ; Quality</subject><ispartof>Telkomnika, 2020-06, Vol.18 (3), p.1650-1657</ispartof><rights>2020. This work is published under https://creativecommons.org/licenses/by/3.0 (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c254t-71bbc1046bebd189c44fa6c165db6d8b33685b6a6e720d7b9aa3aaa058b1b7db3</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27903,27904</link.rule.ids></links><search><creatorcontrib>Aziz, Suhaila Ab</creatorcontrib><creatorcontrib>Sam, Suriani Mohd</creatorcontrib><creatorcontrib>Mohamed, Norliza</creatorcontrib><creatorcontrib>Daud, Salwani Mohd</creatorcontrib><creatorcontrib>Rashid, Siti Zaleha Abdul</creatorcontrib><creatorcontrib>Abas, Hafiza</creatorcontrib><creatorcontrib>Yusof, Muhammad Fathi</creatorcontrib><creatorcontrib>Dziyauddin, Rudzidatul Akmam</creatorcontrib><title>A review on region of interest-based hybrid medical image compression algorithms</title><title>Telkomnika</title><description>[...]the medical image must be compressed and sent securely through the network in the system. [...]compression has attained much attention in medical images. [...]section 5 gives the final remarks of the paper. 2.MEDICAL IMAGE COMPRESSION Medical images contain a great deal of information that is necessary for diagnosis by doctors and medical professionals. The study shows that both compressions had significant advantages and disadvantages in the field of data compression. [...]the hybrid image compression techniques have been introduced by manipulating the benefits of these two techniques to get the maximum impact [13]. [...]the region of interest (ROI) is present to resolve this issue.</description><subject>Algorithms</subject><subject>Bandwidths</subject><subject>Data compression</subject><subject>Image compression</subject><subject>Image manipulation</subject><subject>Information systems</subject><subject>Magnetic resonance imaging</subject><subject>Medical imaging</subject><subject>Physicians</subject><subject>Quality</subject><issn>1693-6930</issn><issn>2302-9293</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><recordid>eNpFkMtqwzAQRUVpoSHNN1TQtV09bFlahtAXBNpFuxZ6OVFiW6nkpOTvqySFDgx3FndmLgeAe4xKTAThj6PrtqEf_FaVB8w9LXElELoCE0IRKQQR9BpMMBO0yI1uwSylDcrVIFILPgEfcxjdwbsfGIY8rXyW0EI_jC66NBZaJWfh-qijt7B31hvVQd-rlYMm9LvsSacV1a1C9OO6T3fgplVdcrM_nYKv56fPxWuxfH95W8yXhSF1NRYN1tpgVDHttMVcmKpqFTOY1VYzyzWljNeaKeYagmyjhVJUKYVqrrFurKZT8HC5u4vhe5-jyk3YxyG_lKTCiFNBCMmu5uIyMaQUXSt3MaePR4mRPBOU_wTlmaA8E6S_zndpbA</recordid><startdate>20200601</startdate><enddate>20200601</enddate><creator>Aziz, Suhaila Ab</creator><creator>Sam, Suriani Mohd</creator><creator>Mohamed, Norliza</creator><creator>Daud, Salwani Mohd</creator><creator>Rashid, Siti Zaleha Abdul</creator><creator>Abas, Hafiza</creator><creator>Yusof, Muhammad Fathi</creator><creator>Dziyauddin, Rudzidatul Akmam</creator><general>Ahmad Dahlan University</general><scope>AAYXX</scope><scope>CITATION</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BVBZV</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>HCIFZ</scope><scope>P5Z</scope><scope>P62</scope><scope>PIMPY</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope></search><sort><creationdate>20200601</creationdate><title>A review on region of interest-based hybrid medical image compression algorithms</title><author>Aziz, Suhaila Ab ; Sam, Suriani Mohd ; Mohamed, Norliza ; Daud, Salwani Mohd ; Rashid, Siti Zaleha Abdul ; Abas, Hafiza ; Yusof, Muhammad Fathi ; Dziyauddin, Rudzidatul Akmam</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c254t-71bbc1046bebd189c44fa6c165db6d8b33685b6a6e720d7b9aa3aaa058b1b7db3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Algorithms</topic><topic>Bandwidths</topic><topic>Data compression</topic><topic>Image compression</topic><topic>Image manipulation</topic><topic>Information systems</topic><topic>Magnetic resonance imaging</topic><topic>Medical imaging</topic><topic>Physicians</topic><topic>Quality</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Aziz, Suhaila Ab</creatorcontrib><creatorcontrib>Sam, Suriani Mohd</creatorcontrib><creatorcontrib>Mohamed, Norliza</creatorcontrib><creatorcontrib>Daud, Salwani Mohd</creatorcontrib><creatorcontrib>Rashid, Siti Zaleha Abdul</creatorcontrib><creatorcontrib>Abas, Hafiza</creatorcontrib><creatorcontrib>Yusof, Muhammad Fathi</creatorcontrib><creatorcontrib>Dziyauddin, Rudzidatul Akmam</creatorcontrib><collection>CrossRef</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>East &amp; South Asia Database</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>SciTech Premium Collection</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><jtitle>Telkomnika</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Aziz, Suhaila Ab</au><au>Sam, Suriani Mohd</au><au>Mohamed, Norliza</au><au>Daud, Salwani Mohd</au><au>Rashid, Siti Zaleha Abdul</au><au>Abas, Hafiza</au><au>Yusof, Muhammad Fathi</au><au>Dziyauddin, Rudzidatul Akmam</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A review on region of interest-based hybrid medical image compression algorithms</atitle><jtitle>Telkomnika</jtitle><date>2020-06-01</date><risdate>2020</risdate><volume>18</volume><issue>3</issue><spage>1650</spage><epage>1657</epage><pages>1650-1657</pages><issn>1693-6930</issn><eissn>2302-9293</eissn><abstract>[...]the medical image must be compressed and sent securely through the network in the system. [...]compression has attained much attention in medical images. [...]section 5 gives the final remarks of the paper. 2.MEDICAL IMAGE COMPRESSION Medical images contain a great deal of information that is necessary for diagnosis by doctors and medical professionals. The study shows that both compressions had significant advantages and disadvantages in the field of data compression. [...]the hybrid image compression techniques have been introduced by manipulating the benefits of these two techniques to get the maximum impact [13]. [...]the region of interest (ROI) is present to resolve this issue.</abstract><cop>Yogyakarta</cop><pub>Ahmad Dahlan University</pub><doi>10.12928/telkomnika.v18i3.14900</doi><tpages>8</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 1693-6930
ispartof Telkomnika, 2020-06, Vol.18 (3), p.1650-1657
issn 1693-6930
2302-9293
language eng
recordid cdi_proquest_journals_2410839222
source EZB-FREE-00999 freely available EZB journals
subjects Algorithms
Bandwidths
Data compression
Image compression
Image manipulation
Information systems
Magnetic resonance imaging
Medical imaging
Physicians
Quality
title A review on region of interest-based hybrid medical image compression algorithms
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-26T13%3A49%3A42IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20review%20on%20region%20of%20interest-based%20hybrid%20medical%20image%20compression%20algorithms&rft.jtitle=Telkomnika&rft.au=Aziz,%20Suhaila%20Ab&rft.date=2020-06-01&rft.volume=18&rft.issue=3&rft.spage=1650&rft.epage=1657&rft.pages=1650-1657&rft.issn=1693-6930&rft.eissn=2302-9293&rft_id=info:doi/10.12928/telkomnika.v18i3.14900&rft_dat=%3Cproquest_cross%3E2410839222%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2410839222&rft_id=info:pmid/&rfr_iscdi=true