An edge-guided image interpolation method using Taylor series approximation

In this paper, a novel real-time edge-guided interpolation method is presented to produce the high resolution image without any disturbing artifacts such as blurring, jagging, and overshooting. The proposed method computes the first- and second-order derivatives of an input image to measure the geom...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:IEEE transactions on consumer electronics 2016-05, Vol.62 (2), p.159-165
Hauptverfasser: Lee, Seung-Jun, Kang, Mun-Cheon, Uhm, Kwang-Hyun, Ko, Sung-Jea
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext bestellen
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 165
container_issue 2
container_start_page 159
container_title IEEE transactions on consumer electronics
container_volume 62
creator Lee, Seung-Jun
Kang, Mun-Cheon
Uhm, Kwang-Hyun
Ko, Sung-Jea
description In this paper, a novel real-time edge-guided interpolation method is presented to produce the high resolution image without any disturbing artifacts such as blurring, jagging, and overshooting. The proposed method computes the first- and second-order derivatives of an input image to measure the geometry of edges in the image. Based on these measures, the value of a pixel to be interpolated is estimated along four directions using Taylor series approximation. The four directional estimates are adaptively fused based on the orientation of a local edge to obtain the edge-guided interpolation output. Experimental results demonstrate that the proposed interpolation method outperforms the conventional ones both in terms of objective and subjective image qualities with low computational complexity.
doi_str_mv 10.1109/TCE.2016.7514715
format Article
fullrecord <record><control><sourceid>proquest_RIE</sourceid><recordid>TN_cdi_proquest_journals_1806144656</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>7514715</ieee_id><sourcerecordid>4125779721</sourcerecordid><originalsourceid>FETCH-LOGICAL-c324t-6856451539b33417ab0cf9df2754215e7d38a241f1173c8c978850a3d261995e3</originalsourceid><addsrcrecordid>eNpdkLtPwzAQhy0EEqWwI7FYYmFJ8cXPjFVVHqISS5ktN7mEVGlc7ESi_z2JWhiYbrjvd4-PkFtgMwCWPa4Xy1nKQM20BKFBnpEJSGkSAak-JxPGMpNwpvgluYpxyxgImZoJeZu3FIsKk6qvCyxovXMV0rrtMOx947rat3SH3acvaB_rtqJrd2h8oBFDjZG6_T747yE0gtfkonRNxJtTnZKPp-V68ZKs3p9fF_NVkvNUdIkyUgkJkmcbzgVot2F5mRVlqqVIQaIuuHGpgBJA89zkmTZGMseLVEGWSeRT8nCcO-z-6jF2dlfHHJvGtej7aMFwqSQzQg3o_T906_vQDtcNFFMghJIjxY5UHnyMAUu7D8NP4WCB2dGuHeza0a492R0id8dIjYh_-G_3B0JFc9A</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>1806144656</pqid></control><display><type>article</type><title>An edge-guided image interpolation method using Taylor series approximation</title><source>IEEE Xplore</source><creator>Lee, Seung-Jun ; Kang, Mun-Cheon ; Uhm, Kwang-Hyun ; Ko, Sung-Jea</creator><creatorcontrib>Lee, Seung-Jun ; Kang, Mun-Cheon ; Uhm, Kwang-Hyun ; Ko, Sung-Jea</creatorcontrib><description>In this paper, a novel real-time edge-guided interpolation method is presented to produce the high resolution image without any disturbing artifacts such as blurring, jagging, and overshooting. The proposed method computes the first- and second-order derivatives of an input image to measure the geometry of edges in the image. Based on these measures, the value of a pixel to be interpolated is estimated along four directions using Taylor series approximation. The four directional estimates are adaptively fused based on the orientation of a local edge to obtain the edge-guided interpolation output. Experimental results demonstrate that the proposed interpolation method outperforms the conventional ones both in terms of objective and subjective image qualities with low computational complexity.</description><identifier>ISSN: 0098-3063</identifier><identifier>EISSN: 1558-4127</identifier><identifier>DOI: 10.1109/TCE.2016.7514715</identifier><identifier>CODEN: ITCEDA</identifier><language>eng</language><publisher>New York: IEEE</publisher><subject>Approximation ; Consumption ; Convolution ; Derivatives ; directional derivatives ; edge-guided interpolation ; Electrical engineering ; Electronic mail ; Electronics ; Image edge detection ; Image interpolation ; Interpolation ; Mathematical analysis ; Real-time systems ; Taylor series ; Taylor series approximation</subject><ispartof>IEEE transactions on consumer electronics, 2016-05, Vol.62 (2), p.159-165</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2016</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c324t-6856451539b33417ab0cf9df2754215e7d38a241f1173c8c978850a3d261995e3</citedby><cites>FETCH-LOGICAL-c324t-6856451539b33417ab0cf9df2754215e7d38a241f1173c8c978850a3d261995e3</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/7514715$$EHTML$$P50$$Gieee$$H</linktohtml><link.rule.ids>314,780,784,796,27924,27925,54758</link.rule.ids><linktorsrc>$$Uhttps://ieeexplore.ieee.org/document/7514715$$EView_record_in_IEEE$$FView_record_in_$$GIEEE</linktorsrc></links><search><creatorcontrib>Lee, Seung-Jun</creatorcontrib><creatorcontrib>Kang, Mun-Cheon</creatorcontrib><creatorcontrib>Uhm, Kwang-Hyun</creatorcontrib><creatorcontrib>Ko, Sung-Jea</creatorcontrib><title>An edge-guided image interpolation method using Taylor series approximation</title><title>IEEE transactions on consumer electronics</title><addtitle>T-CE</addtitle><description>In this paper, a novel real-time edge-guided interpolation method is presented to produce the high resolution image without any disturbing artifacts such as blurring, jagging, and overshooting. The proposed method computes the first- and second-order derivatives of an input image to measure the geometry of edges in the image. Based on these measures, the value of a pixel to be interpolated is estimated along four directions using Taylor series approximation. The four directional estimates are adaptively fused based on the orientation of a local edge to obtain the edge-guided interpolation output. Experimental results demonstrate that the proposed interpolation method outperforms the conventional ones both in terms of objective and subjective image qualities with low computational complexity.</description><subject>Approximation</subject><subject>Consumption</subject><subject>Convolution</subject><subject>Derivatives</subject><subject>directional derivatives</subject><subject>edge-guided interpolation</subject><subject>Electrical engineering</subject><subject>Electronic mail</subject><subject>Electronics</subject><subject>Image edge detection</subject><subject>Image interpolation</subject><subject>Interpolation</subject><subject>Mathematical analysis</subject><subject>Real-time systems</subject><subject>Taylor series</subject><subject>Taylor series approximation</subject><issn>0098-3063</issn><issn>1558-4127</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><sourceid>RIE</sourceid><recordid>eNpdkLtPwzAQhy0EEqWwI7FYYmFJ8cXPjFVVHqISS5ktN7mEVGlc7ESi_z2JWhiYbrjvd4-PkFtgMwCWPa4Xy1nKQM20BKFBnpEJSGkSAak-JxPGMpNwpvgluYpxyxgImZoJeZu3FIsKk6qvCyxovXMV0rrtMOx947rat3SH3acvaB_rtqJrd2h8oBFDjZG6_T747yE0gtfkonRNxJtTnZKPp-V68ZKs3p9fF_NVkvNUdIkyUgkJkmcbzgVot2F5mRVlqqVIQaIuuHGpgBJA89zkmTZGMseLVEGWSeRT8nCcO-z-6jF2dlfHHJvGtej7aMFwqSQzQg3o_T906_vQDtcNFFMghJIjxY5UHnyMAUu7D8NP4WCB2dGuHeza0a492R0id8dIjYh_-G_3B0JFc9A</recordid><startdate>201605</startdate><enddate>201605</enddate><creator>Lee, Seung-Jun</creator><creator>Kang, Mun-Cheon</creator><creator>Uhm, Kwang-Hyun</creator><creator>Ko, Sung-Jea</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SP</scope><scope>8FD</scope><scope>F28</scope><scope>FR3</scope><scope>L7M</scope></search><sort><creationdate>201605</creationdate><title>An edge-guided image interpolation method using Taylor series approximation</title><author>Lee, Seung-Jun ; Kang, Mun-Cheon ; Uhm, Kwang-Hyun ; Ko, Sung-Jea</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c324t-6856451539b33417ab0cf9df2754215e7d38a241f1173c8c978850a3d261995e3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Approximation</topic><topic>Consumption</topic><topic>Convolution</topic><topic>Derivatives</topic><topic>directional derivatives</topic><topic>edge-guided interpolation</topic><topic>Electrical engineering</topic><topic>Electronic mail</topic><topic>Electronics</topic><topic>Image edge detection</topic><topic>Image interpolation</topic><topic>Interpolation</topic><topic>Mathematical analysis</topic><topic>Real-time systems</topic><topic>Taylor series</topic><topic>Taylor series approximation</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Lee, Seung-Jun</creatorcontrib><creatorcontrib>Kang, Mun-Cheon</creatorcontrib><creatorcontrib>Uhm, Kwang-Hyun</creatorcontrib><creatorcontrib>Ko, Sung-Jea</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Xplore</collection><collection>CrossRef</collection><collection>Electronics &amp; Communications Abstracts</collection><collection>Technology Research Database</collection><collection>ANTE: Abstracts in New Technology &amp; Engineering</collection><collection>Engineering Research Database</collection><collection>Advanced Technologies Database with Aerospace</collection><jtitle>IEEE transactions on consumer electronics</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext_linktorsrc</fulltext></delivery><addata><au>Lee, Seung-Jun</au><au>Kang, Mun-Cheon</au><au>Uhm, Kwang-Hyun</au><au>Ko, Sung-Jea</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>An edge-guided image interpolation method using Taylor series approximation</atitle><jtitle>IEEE transactions on consumer electronics</jtitle><stitle>T-CE</stitle><date>2016-05</date><risdate>2016</risdate><volume>62</volume><issue>2</issue><spage>159</spage><epage>165</epage><pages>159-165</pages><issn>0098-3063</issn><eissn>1558-4127</eissn><coden>ITCEDA</coden><abstract>In this paper, a novel real-time edge-guided interpolation method is presented to produce the high resolution image without any disturbing artifacts such as blurring, jagging, and overshooting. The proposed method computes the first- and second-order derivatives of an input image to measure the geometry of edges in the image. Based on these measures, the value of a pixel to be interpolated is estimated along four directions using Taylor series approximation. The four directional estimates are adaptively fused based on the orientation of a local edge to obtain the edge-guided interpolation output. Experimental results demonstrate that the proposed interpolation method outperforms the conventional ones both in terms of objective and subjective image qualities with low computational complexity.</abstract><cop>New York</cop><pub>IEEE</pub><doi>10.1109/TCE.2016.7514715</doi><tpages>7</tpages></addata></record>
fulltext fulltext_linktorsrc
identifier ISSN: 0098-3063
ispartof IEEE transactions on consumer electronics, 2016-05, Vol.62 (2), p.159-165
issn 0098-3063
1558-4127
language eng
recordid cdi_proquest_journals_1806144656
source IEEE Xplore
subjects Approximation
Consumption
Convolution
Derivatives
directional derivatives
edge-guided interpolation
Electrical engineering
Electronic mail
Electronics
Image edge detection
Image interpolation
Interpolation
Mathematical analysis
Real-time systems
Taylor series
Taylor series approximation
title An edge-guided image interpolation method using Taylor series approximation
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-28T06%3A22%3A50IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_RIE&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=An%20edge-guided%20image%20interpolation%20method%20using%20Taylor%20series%20approximation&rft.jtitle=IEEE%20transactions%20on%20consumer%20electronics&rft.au=Lee,%20Seung-Jun&rft.date=2016-05&rft.volume=62&rft.issue=2&rft.spage=159&rft.epage=165&rft.pages=159-165&rft.issn=0098-3063&rft.eissn=1558-4127&rft.coden=ITCEDA&rft_id=info:doi/10.1109/TCE.2016.7514715&rft_dat=%3Cproquest_RIE%3E4125779721%3C/proquest_RIE%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=1806144656&rft_id=info:pmid/&rft_ieee_id=7514715&rfr_iscdi=true