Super Resolution of Text Image by Pruning Outlier
Identifieur interne : 001557 ( Istex/Corpus ); précédent : 001556; suivant : 001558Super Resolution of Text Image by Pruning Outlier
Auteurs : Ziye Yan ; Yao Lu ; Jianwu LiSource :
- Lecture Notes in Computer Science [ 0302-9743 ] ; 2011.
Abstract
Abstract: We propose a learning based super resolution algorithm for single frame text image. The distance based candidate of example can’t avoid the outliers and the super resolution result will be disturbed by the irrelevant outliers. In this work, the unique constraints of the text image are used to reject the outliers in the learning based SR algorithm. The final image is obtained by the Markov random field network with k nearest neighbor candidates from an image database that contains pairs of corresponding low resolution and high resolution text image patches. We demonstrate our algorithm on simulated and real scanned documents with promising results.
Url:
DOI: 10.1007/978-3-642-24965-5_73
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ISTEX:E365B1A7DC3326DA19B2A72FF4BCD8CF000AC7DCLe document en format XML
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The distance based candidate of example can’t avoid the outliers and the super resolution result will be disturbed by the irrelevant outliers. In this work, the unique constraints of the text image are used to reject the outliers in the learning based SR algorithm. The final image is obtained by the Markov random field network with k nearest neighbor candidates from an image database that contains pairs of corresponding low resolution and high resolution text image patches. 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Science</OrgName><OrgAddress><City>Rehovot</City><Country>Israel</Country></OrgAddress></Affiliation><Affiliation ID="Aff8"><OrgName>University of Bern</OrgName><OrgAddress><City>Bern</City><Country>Switzerland</Country></OrgAddress></Affiliation><Affiliation ID="Aff9"><OrgName>Indian Institute of Technology</OrgName><OrgAddress><City>Madras</City><Country>India</Country></OrgAddress></Affiliation><Affiliation ID="Aff10"><OrgName>University of Dortmund</OrgName><OrgAddress><City>Dortmund</City><Country>Germany</Country></OrgAddress></Affiliation><Affiliation ID="Aff11"><OrgName>Massachusetts Institute of Technology</OrgName><OrgAddress><State>MA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff12"><OrgName>University of California</OrgName><OrgAddress><City>Los Angeles</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff13"><OrgName>University of California</OrgName><OrgAddress><City>Berkeley</City><State>CA</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff14"><OrgName>Rice University</OrgName><OrgAddress><City>Houston</City><State>TX</State><Country>USA</Country></OrgAddress></Affiliation><Affiliation ID="Aff15"><OrgName>Max-Planck Institute of Computer Science</OrgName><OrgAddress><City>Saarbrücken</City><Country>Germany</Country></OrgAddress></Affiliation></EditorGroup></SeriesHeader><Book Language="En"><BookInfo BookProductType="Proceedings" ContainsESM="No" Language="En" MediaType="eBook" NumberingDepth="2" NumberingStyle="ContentOnly" OutputMedium="All" TocLevels="0"><BookID>978-3-642-24965-5</BookID><BookTitle>Neural Information Processing</BookTitle><BookSubTitle>18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part III</BookSubTitle><BookVolumeNumber>7064</BookVolumeNumber><BookSequenceNumber>7064</BookSequenceNumber><BookDOI>10.1007/978-3-642-24965-5</BookDOI><BookTitleID>299688</BookTitleID><BookPrintISBN>978-3-642-24964-8</BookPrintISBN><BookElectronicISBN>978-3-642-24965-5</BookElectronicISBN><BookChapterCount>87</BookChapterCount><BookCopyright><CopyrightHolderName>Springer-Verlag GmbH Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2011</CopyrightYear></BookCopyright><BookSubjectGroup><BookSubject Code="I" Type="Primary">Computer Science</BookSubject><BookSubject Code="I16013" Priority="1" Type="Secondary">Computation by Abstract Devices</BookSubject><BookSubject Code="I21017" Priority="2" Type="Secondary">Artificial Intelligence (incl. Robotics)</BookSubject><BookSubject Code="I2203X" Priority="3" Type="Secondary">Pattern Recognition</BookSubject><BookSubject Code="I18030" Priority="4" Type="Secondary">Data Mining and Knowledge Discovery</BookSubject><BookSubject Code="I21025" Priority="5" Type="Secondary">Simulation and Modeling</BookSubject><BookSubject Code="I22021" Priority="6" Type="Secondary">Image Processing and Computer Vision</BookSubject><SubjectCollection Code="SUCO11645">Computer Science</SubjectCollection></BookSubjectGroup><BookContext><SeriesID>558</SeriesID></BookContext></BookInfo><BookHeader><EditorGroup><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Bao-Liang</GivenName><FamilyName>Lu</FamilyName></EditorName><Contact><Email>bllu@sjtu.edu.cn</Email></Contact></Editor><Editor AffiliationIDS="Aff16"><EditorName DisplayOrder="Western"><GivenName>Liqing</GivenName><FamilyName>Zhang</FamilyName></EditorName><Contact><Email>zhang-lq@cs.sjtu.edu.cn</Email></Contact></Editor><Editor AffiliationIDS="Aff17"><EditorName DisplayOrder="Western"><GivenName>James</GivenName><FamilyName>Kwok</FamilyName></EditorName><Contact><Email>jamesk@cse.ust.hk</Email></Contact></Editor><Affiliation ID="Aff16"><OrgDivision>Department of Computer Science and Engineering</OrgDivision><OrgName>Shanghai Jiao Tong University</OrgName><OrgAddress><Street>800, Dongchuan Road</Street><Postcode>200240</Postcode><City>Shanghai</City><Country>China</Country></OrgAddress></Affiliation><Affiliation ID="Aff17"><OrgDivision>Department of Computer Science and Engineering</OrgDivision><OrgName>The Hong Kong University of Science and Technology</OrgName><OrgAddress><Street>Clear Water Bay, Kowloon</Street><City>Hong Kong</City><Country>China</Country></OrgAddress></Affiliation></EditorGroup></BookHeader><Part ID="Part7"><PartInfo TocLevels="0"><PartID>7</PartID><PartSequenceNumber>7</PartSequenceNumber><PartTitle>Visual Perception Modelling</PartTitle><PartChapterCount>14</PartChapterCount><PartContext><SeriesID>558</SeriesID><BookTitle>Neural Information Processing</BookTitle></PartContext></PartInfo><Chapter ID="Chap73" Language="En"><ChapterInfo ChapterType="OriginalPaper" ContainsESM="No" NumberingDepth="2" NumberingStyle="ContentOnly" TocLevels="0"><ChapterID>73</ChapterID><ChapterDOI>10.1007/978-3-642-24965-5_73</ChapterDOI><ChapterSequenceNumber>73</ChapterSequenceNumber><ChapterTitle Language="En">Super Resolution of Text Image by Pruning Outlier</ChapterTitle><ChapterFirstPage>649</ChapterFirstPage><ChapterLastPage>656</ChapterLastPage><ChapterCopyright><CopyrightHolderName>Springer-Verlag Berlin Heidelberg</CopyrightHolderName><CopyrightYear>2011</CopyrightYear></ChapterCopyright><ChapterGrants Type="Regular"><MetadataGrant Grant="OpenAccess"></MetadataGrant><AbstractGrant Grant="OpenAccess"></AbstractGrant><BodyPDFGrant Grant="Restricted"></BodyPDFGrant><BodyHTMLGrant Grant="Restricted"></BodyHTMLGrant><BibliographyGrant Grant="Restricted"></BibliographyGrant><ESMGrant Grant="Restricted"></ESMGrant></ChapterGrants><ChapterContext><SeriesID>558</SeriesID><PartID>7</PartID><BookID>978-3-642-24965-5</BookID><BookTitle>Neural Information Processing</BookTitle></ChapterContext></ChapterInfo><ChapterHeader><AuthorGroup><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Ziye</GivenName><FamilyName>Yan</FamilyName></AuthorName><Contact><Email>yanziye@bit.edu.cn</Email></Contact></Author><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>Yao</GivenName><FamilyName>Lu</FamilyName></AuthorName><Contact><Email>vis_yl@bit.edu.cn</Email></Contact></Author><Author AffiliationIDS="Aff18"><AuthorName DisplayOrder="Western"><GivenName>JianWu</GivenName><FamilyName>Li</FamilyName></AuthorName><Contact><Email>ljw@bit.edu.cn</Email></Contact></Author><Affiliation ID="Aff18"><OrgDivision>Beijing Laboratory of Intelligent Information Technology, School of Computer Science & Technology</OrgDivision><OrgName>Beijing Institute of Technology</OrgName><OrgAddress><City>Beijing</City><Country>China</Country></OrgAddress></Affiliation></AuthorGroup><Abstract ID="Abs1" Language="En"><Heading>Abstract</Heading><Para>We propose a learning based super resolution algorithm for single frame text image. The distance based candidate of example can’t avoid the outliers and the super resolution result will be disturbed by the irrelevant outliers. In this work, the unique constraints of the text image are used to reject the outliers in the learning based SR algorithm. The final image is obtained by the Markov random field network with k nearest neighbor candidates from an image database that contains pairs of corresponding low resolution and high resolution text image patches. We demonstrate our algorithm on simulated and real scanned documents with promising results.</Para></Abstract><KeywordGroup Language="En"><Heading>Keywords</Heading><Keyword>Super resolution</Keyword><Keyword>Text image</Keyword><Keyword>Markov random field</Keyword><Keyword>Outlier</Keyword></KeywordGroup></ChapterHeader><NoBody></NoBody></Chapter></Part></Book></Series></Publisher></istex:document></istex:metadataXml><mods version="3.6"><titleInfo lang="en"><title>Super Resolution of Text Image by Pruning Outlier</title></titleInfo><titleInfo type="alternative" contentType="CDATA" lang="en"><title>Super Resolution of Text Image by Pruning Outlier</title></titleInfo><name type="personal"><namePart type="given">Ziye</namePart><namePart type="family">Yan</namePart><affiliation>Beijing Laboratory of Intelligent Information Technology, School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China</affiliation><affiliation>E-mail: yanziye@bit.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">Yao</namePart><namePart type="family">Lu</namePart><affiliation>Beijing Laboratory of Intelligent Information Technology, School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China</affiliation><affiliation>E-mail: vis_yl@bit.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><name type="personal"><namePart type="given">JianWu</namePart><namePart type="family">Li</namePart><affiliation>Beijing Laboratory of Intelligent Information Technology, School of Computer Science & Technology, Beijing Institute of Technology, Beijing, China</affiliation><affiliation>E-mail: ljw@bit.edu.cn</affiliation><role><roleTerm type="text">author</roleTerm></role></name><typeOfResource>text</typeOfResource><genre type="conference [eBooks]" displayLabel="OriginalPaper"></genre><originInfo><publisher>Springer Berlin Heidelberg</publisher><place><placeTerm type="text">Berlin, Heidelberg</placeTerm></place><dateIssued encoding="w3cdtf">2011</dateIssued><copyrightDate encoding="w3cdtf">2011</copyrightDate></originInfo><language><languageTerm type="code" authority="rfc3066">en</languageTerm><languageTerm type="code" authority="iso639-2b">eng</languageTerm></language><physicalDescription><internetMediaType>text/html</internetMediaType></physicalDescription><abstract lang="en">Abstract: We propose a learning based super resolution algorithm for single frame text image. The distance based candidate of example can’t avoid the outliers and the super resolution result will be disturbed by the irrelevant outliers. In this work, the unique constraints of the text image are used to reject the outliers in the learning based SR algorithm. The final image is obtained by the Markov random field network with k nearest neighbor candidates from an image database that contains pairs of corresponding low resolution and high resolution text image patches. We demonstrate our algorithm on simulated and real scanned documents with promising results.</abstract><relatedItem type="host"><titleInfo><title>Neural Information Processing</title><subTitle>18th International Conference, ICONIP 2011, Shanghai, China, November 13-17, 2011, Proceedings, Part III</subTitle></titleInfo><name type="personal"><namePart type="given">Bao-Liang</namePart><namePart type="family">Lu</namePart><affiliation>Department of Computer Science and Engineering, Shanghai Jiao Tong University, 800, Dongchuan Road, 200240, Shanghai, China</affiliation><affiliation>E-mail: bllu@sjtu.edu.cn</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Liqing</namePart><namePart type="family">Zhang</namePart><affiliation>Department of Computer Science and Engineering, Shanghai Jiao Tong University, 800, Dongchuan Road, 200240, Shanghai, China</affiliation><affiliation>E-mail: zhang-lq@cs.sjtu.edu.cn</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">James</namePart><namePart type="family">Kwok</namePart><affiliation>Department of Computer Science and Engineering, The Hong Kong University of Science and Technology, Clear Water Bay, Kowloon, Hong Kong, China</affiliation><affiliation>E-mail: jamesk@cse.ust.hk</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><genre type="Book Series" displayLabel="Proceedings"></genre><originInfo><copyrightDate encoding="w3cdtf">2011</copyrightDate><issuance>monographic</issuance></originInfo><subject><genre>Book Subject Collection</genre><topic authority="SpringerSubjectCodes" authorityURI="SUCO11645">Computer Science</topic></subject><subject><genre>Book Subject Group</genre><topic authority="SpringerSubjectCodes" authorityURI="I">Computer Science</topic><topic authority="SpringerSubjectCodes" authorityURI="I16013">Computation by Abstract Devices</topic><topic authority="SpringerSubjectCodes" authorityURI="I21017">Artificial Intelligence (incl. Robotics)</topic><topic authority="SpringerSubjectCodes" authorityURI="I2203X">Pattern Recognition</topic><topic authority="SpringerSubjectCodes" authorityURI="I18030">Data Mining and Knowledge Discovery</topic><topic authority="SpringerSubjectCodes" authorityURI="I21025">Simulation and Modeling</topic><topic authority="SpringerSubjectCodes" authorityURI="I22021">Image Processing and Computer Vision</topic></subject><identifier type="DOI">10.1007/978-3-642-24965-5</identifier><identifier type="ISBN">978-3-642-24964-8</identifier><identifier type="eISBN">978-3-642-24965-5</identifier><identifier type="ISSN">0302-9743</identifier><identifier type="eISSN">1611-3349</identifier><identifier type="BookTitleID">299688</identifier><identifier type="BookID">978-3-642-24965-5</identifier><identifier type="BookChapterCount">87</identifier><identifier type="BookVolumeNumber">7064</identifier><identifier type="BookSequenceNumber">7064</identifier><identifier type="PartChapterCount">14</identifier><part><date>2011</date><detail type="part"><title>Visual Perception Modelling</title></detail><detail type="volume"><number>7064</number><caption>vol.</caption></detail><extent unit="pages"><start>649</start><end>656</end></extent></part><recordInfo><recordOrigin>Springer-Verlag GmbH Berlin Heidelberg, 2011</recordOrigin></recordInfo></relatedItem><relatedItem type="series"><titleInfo><title>Lecture Notes in Computer Science</title></titleInfo><name type="personal"><namePart type="given">David</namePart><namePart type="family">Hutchison</namePart><affiliation>Lancaster University, Lancaster, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Takeo</namePart><namePart type="family">Kanade</namePart><affiliation>Carnegie Mellon University, Pittsburgh, PA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Josef</namePart><namePart type="family">Kittler</namePart><affiliation>University of Surrey, Guildford, UK</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Jon</namePart><namePart type="given">M.</namePart><namePart type="family">Kleinberg</namePart><affiliation>Cornell University, Ithaca, NY, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Friedemann</namePart><namePart type="family">Mattern</namePart><affiliation>ETH Zurich, Zurich, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">John</namePart><namePart type="given">C.</namePart><namePart type="family">Mitchell</namePart><affiliation>Stanford University, Stanford, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moni</namePart><namePart type="family">Naor</namePart><affiliation>Weizmann Institute of Science, Rehovot, Israel</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Oscar</namePart><namePart type="family">Nierstrasz</namePart><affiliation>University of Bern, Bern, Switzerland</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">C.</namePart><namePart type="family">Pandu Rangan</namePart><affiliation>Indian Institute of Technology, Madras, India</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Bernhard</namePart><namePart type="family">Steffen</namePart><affiliation>University of Dortmund, Dortmund, Germany</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Madhu</namePart><namePart type="family">Sudan</namePart><affiliation>Massachusetts Institute of Technology, MA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Demetri</namePart><namePart type="family">Terzopoulos</namePart><affiliation>University of California, Los Angeles, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Doug</namePart><namePart type="family">Tygar</namePart><affiliation>University of California, Berkeley, CA, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Moshe</namePart><namePart type="given">Y.</namePart><namePart type="family">Vardi</namePart><affiliation>Rice University, Houston, TX, USA</affiliation><role><roleTerm type="text">editor</roleTerm></role></name><name type="personal"><namePart type="given">Gerhard</namePart><namePart 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