Deblurring of Document Images Based on Sparse Representations Enhanced by Non-local Means
Identifieur interne : 000038 ( Hal/Corpus ); précédent : 000037; suivant : 000039Deblurring of Document Images Based on Sparse Representations Enhanced by Non-local Means
Auteurs : Nibal Nayef ; Petra Gomez-Kr Mer ; Jean-Marc OgierSource :
Abstract
Blur is one of the most difficult distortions incamera captured documents. It degrades the visual quality of animage, and makes it difficult to read whether by a human or OCRsystems. This paper presents a novel non-blind deblurring methodthat combines the well known effective techniques of sparse representations and non-local image similarity. The presented problemformulation enables the use of standard sparse coding methodsfor solving sparse coding-based deblurring when enhanced bya non-local means prior. The method has been tested on bothsynthetic and real document images degraded with a variety ofblur kernels. The resulting deblurred images have high qualityin terms of both signal-to-noise ratio and OCR accuracy.
Url:
DOI: 10.1109/ICPR.2014.760
Links to Exploration step
Hal:hal-01315620Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">Deblurring of Document Images Based on Sparse Representations Enhanced by Non-local Means</title>
<author><name sortKey="Nayef, Nibal" sort="Nayef, Nibal" uniqKey="Nayef N" first="Nibal" last="Nayef">Nibal Nayef</name>
<affiliation><hal:affiliation type="laboratory" xml:id="struct-40831" status="VALID"><orgName>Laboratoire Informatique, Image et Interaction</orgName>
<orgName type="acronym">L3I</orgName>
<desc><address><addrLine>Bâtiment Pascal Avenue Michel Crépeau F-17042 La Rochelle Cedex 1</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.univ-lr.fr/l3i</ref>
</desc>
<listRelation><relation name="EA2118" active="#struct-300311" type="direct"></relation>
</listRelation>
<tutelles><tutelle name="EA2118" active="#struct-300311" type="direct"><org type="institution" xml:id="struct-300311" status="VALID"><orgName>Université de La Rochelle</orgName>
<desc><address><country key="FR"></country>
</address>
</desc>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
</affiliation>
</author>
<author><name sortKey="Gomez Kr Mer, Petra" sort="Gomez Kr Mer, Petra" uniqKey="Gomez Kr Mer P" first="Petra" last="Gomez-Kr Mer">Petra Gomez-Kr Mer</name>
<affiliation><hal:affiliation type="researchteam" xml:id="struct-403156" status="INCOMING"><orgName>L3i</orgName>
<desc><address><country key="FR"></country>
</address>
</desc>
<listRelation><relation active="#struct-40831" type="direct"></relation>
<relation name="EA2118" active="#struct-300311" type="indirect"></relation>
</listRelation>
<tutelles><tutelle active="#struct-40831" type="direct"><org type="laboratory" xml:id="struct-40831" status="VALID"><orgName>Laboratoire Informatique, Image et Interaction</orgName>
<orgName type="acronym">L3I</orgName>
<desc><address><addrLine>Bâtiment Pascal Avenue Michel Crépeau F-17042 La Rochelle Cedex 1</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.univ-lr.fr/l3i</ref>
</desc>
<listRelation><relation name="EA2118" active="#struct-300311" type="direct"></relation>
</listRelation>
</org>
</tutelle>
<tutelle name="EA2118" active="#struct-300311" type="indirect"><org type="institution" xml:id="struct-300311" status="VALID"><orgName>Université de La Rochelle</orgName>
<desc><address><country key="FR"></country>
</address>
</desc>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
</affiliation>
</author>
<author><name sortKey="Ogier, Jean Marc" sort="Ogier, Jean Marc" uniqKey="Ogier J" first="Jean-Marc" last="Ogier">Jean-Marc Ogier</name>
<affiliation><hal:affiliation type="laboratory" xml:id="struct-40831" status="VALID"><orgName>Laboratoire Informatique, Image et Interaction</orgName>
<orgName type="acronym">L3I</orgName>
<desc><address><addrLine>Bâtiment Pascal Avenue Michel Crépeau F-17042 La Rochelle Cedex 1</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.univ-lr.fr/l3i</ref>
</desc>
<listRelation><relation name="EA2118" active="#struct-300311" type="direct"></relation>
</listRelation>
<tutelles><tutelle name="EA2118" active="#struct-300311" type="direct"><org type="institution" xml:id="struct-300311" status="VALID"><orgName>Université de La Rochelle</orgName>
<desc><address><country key="FR"></country>
</address>
</desc>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">HAL</idno>
<idno type="RBID">Hal:hal-01315620</idno>
<idno type="halId">hal-01315620</idno>
<idno type="halUri">https://hal.archives-ouvertes.fr/hal-01315620</idno>
<idno type="url">https://hal.archives-ouvertes.fr/hal-01315620</idno>
<idno type="doi">10.1109/ICPR.2014.760</idno>
<date when="2014-08-24">2014-08-24</date>
<idno type="wicri:Area/Hal/Corpus">000038</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">Deblurring of Document Images Based on Sparse Representations Enhanced by Non-local Means</title>
<author><name sortKey="Nayef, Nibal" sort="Nayef, Nibal" uniqKey="Nayef N" first="Nibal" last="Nayef">Nibal Nayef</name>
<affiliation><hal:affiliation type="laboratory" xml:id="struct-40831" status="VALID"><orgName>Laboratoire Informatique, Image et Interaction</orgName>
<orgName type="acronym">L3I</orgName>
<desc><address><addrLine>Bâtiment Pascal Avenue Michel Crépeau F-17042 La Rochelle Cedex 1</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.univ-lr.fr/l3i</ref>
</desc>
<listRelation><relation name="EA2118" active="#struct-300311" type="direct"></relation>
</listRelation>
<tutelles><tutelle name="EA2118" active="#struct-300311" type="direct"><org type="institution" xml:id="struct-300311" status="VALID"><orgName>Université de La Rochelle</orgName>
<desc><address><country key="FR"></country>
</address>
</desc>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
</affiliation>
</author>
<author><name sortKey="Gomez Kr Mer, Petra" sort="Gomez Kr Mer, Petra" uniqKey="Gomez Kr Mer P" first="Petra" last="Gomez-Kr Mer">Petra Gomez-Kr Mer</name>
<affiliation><hal:affiliation type="researchteam" xml:id="struct-403156" status="INCOMING"><orgName>L3i</orgName>
<desc><address><country key="FR"></country>
</address>
</desc>
<listRelation><relation active="#struct-40831" type="direct"></relation>
<relation name="EA2118" active="#struct-300311" type="indirect"></relation>
</listRelation>
<tutelles><tutelle active="#struct-40831" type="direct"><org type="laboratory" xml:id="struct-40831" status="VALID"><orgName>Laboratoire Informatique, Image et Interaction</orgName>
<orgName type="acronym">L3I</orgName>
<desc><address><addrLine>Bâtiment Pascal Avenue Michel Crépeau F-17042 La Rochelle Cedex 1</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.univ-lr.fr/l3i</ref>
</desc>
<listRelation><relation name="EA2118" active="#struct-300311" type="direct"></relation>
</listRelation>
</org>
</tutelle>
<tutelle name="EA2118" active="#struct-300311" type="indirect"><org type="institution" xml:id="struct-300311" status="VALID"><orgName>Université de La Rochelle</orgName>
<desc><address><country key="FR"></country>
</address>
</desc>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
</affiliation>
</author>
<author><name sortKey="Ogier, Jean Marc" sort="Ogier, Jean Marc" uniqKey="Ogier J" first="Jean-Marc" last="Ogier">Jean-Marc Ogier</name>
<affiliation><hal:affiliation type="laboratory" xml:id="struct-40831" status="VALID"><orgName>Laboratoire Informatique, Image et Interaction</orgName>
<orgName type="acronym">L3I</orgName>
<desc><address><addrLine>Bâtiment Pascal Avenue Michel Crépeau F-17042 La Rochelle Cedex 1</addrLine>
<country key="FR"></country>
</address>
<ref type="url">http://www.univ-lr.fr/l3i</ref>
</desc>
<listRelation><relation name="EA2118" active="#struct-300311" type="direct"></relation>
</listRelation>
<tutelles><tutelle name="EA2118" active="#struct-300311" type="direct"><org type="institution" xml:id="struct-300311" status="VALID"><orgName>Université de La Rochelle</orgName>
<desc><address><country key="FR"></country>
</address>
</desc>
</org>
</tutelle>
</tutelles>
</hal:affiliation>
</affiliation>
</author>
</analytic>
<idno type="DOI">10.1109/ICPR.2014.760</idno>
</biblStruct>
</sourceDesc>
</fileDesc>
<profileDesc><textClass></textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">Blur is one of the most difficult distortions incamera captured documents. It degrades the visual quality of animage, and makes it difficult to read whether by a human or OCRsystems. This paper presents a novel non-blind deblurring methodthat combines the well known effective techniques of sparse representations and non-local image similarity. The presented problemformulation enables the use of standard sparse coding methodsfor solving sparse coding-based deblurring when enhanced bya non-local means prior. The method has been tested on bothsynthetic and real document images degraded with a variety ofblur kernels. The resulting deblurred images have high qualityin terms of both signal-to-noise ratio and OCR accuracy.</div>
</front>
</TEI>
<hal api="V3"><titleStmt><title xml:lang="en">Deblurring of Document Images Based on Sparse Representations Enhanced by Non-local Means</title>
<author role="aut"><persName><forename type="first">Nibal</forename>
<surname>Nayef</surname>
</persName>
<email>nibal.nayef@univ-lr.fr</email>
<idno type="idhal">nibal-nayef</idno>
<idno type="halauthor">1253082</idno>
<affiliation ref="#struct-40831"></affiliation>
</author>
<author role="aut"><persName><forename type="first">Petra</forename>
<surname>Gomez-Krämer</surname>
</persName>
<email>petra.gomez@univ-lr.fr</email>
<ptr type="url" target="http://l3i.univ-larochelle.fr/Gomez-Petra"></ptr>
<idno type="halauthor">1002900</idno>
<affiliation ref="#struct-403156"></affiliation>
</author>
<author role="aut"><persName><forename type="first">Jean-Marc</forename>
<surname>Ogier</surname>
</persName>
<email>jean-marc.ogier@univ-lr.fr</email>
<idno type="halauthor">363882</idno>
<affiliation ref="#struct-40831"></affiliation>
</author>
<editor role="depositor"><persName><forename>Nibal</forename>
<surname>Nayef</surname>
</persName>
<email>n.nayef@gmail.com</email>
</editor>
</titleStmt>
<editionStmt><edition n="v1" type="current"><date type="whenSubmitted">2016-05-13 14:45:17</date>
<date type="whenModified">2016-05-24 10:56:20</date>
<date type="whenReleased">2016-05-13 14:45:17</date>
<date type="whenProduced">2014-08-24</date>
</edition>
<respStmt><resp>contributor</resp>
<name key="427482"><persName><forename>Nibal</forename>
<surname>Nayef</surname>
</persName>
<email>n.nayef@gmail.com</email>
</name>
</respStmt>
</editionStmt>
<publicationStmt><distributor>CCSD</distributor>
<idno type="halId">hal-01315620</idno>
<idno type="halUri">https://hal.archives-ouvertes.fr/hal-01315620</idno>
<idno type="halBibtex">nayef:hal-01315620</idno>
<idno type="halRefHtml">22nd International Conference on Pattern Recognition (ICPR), Aug 2014, Stockholm, Sweden. pp.4441 - 4446, <10.1109/ICPR.2014.760></idno>
<idno type="halRef">22nd International Conference on Pattern Recognition (ICPR), Aug 2014, Stockholm, Sweden. pp.4441 - 4446, <10.1109/ICPR.2014.760></idno>
</publicationStmt>
<seriesStmt><idno type="stamp" n="UNIV-ROCHELLE">Université de la Rochelle</idno>
<idno type="stamp" n="L3I">Laboratoire Informatique, Image et Interaction</idno>
</seriesStmt>
<notesStmt><note type="audience" n="2">International</note>
<note type="invited" n="0">No</note>
<note type="popular" n="0">No</note>
<note type="peer" n="1">Yes</note>
<note type="proceedings" n="0">No</note>
</notesStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en">Deblurring of Document Images Based on Sparse Representations Enhanced by Non-local Means</title>
<author role="aut"><persName><forename type="first">Nibal</forename>
<surname>Nayef</surname>
</persName>
<email>nibal.nayef@univ-lr.fr</email>
<idno type="idHal">nibal-nayef</idno>
<idno type="halAuthorId">1253082</idno>
<affiliation ref="#struct-40831"></affiliation>
</author>
<author role="aut"><persName><forename type="first">Petra</forename>
<surname>Gomez-Krämer</surname>
</persName>
<email>petra.gomez@univ-lr.fr</email>
<ptr type="url" target="http://l3i.univ-larochelle.fr/Gomez-Petra"></ptr>
<idno type="halAuthorId">1002900</idno>
<affiliation ref="#struct-403156"></affiliation>
</author>
<author role="aut"><persName><forename type="first">Jean-Marc</forename>
<surname>Ogier</surname>
</persName>
<email>jean-marc.ogier@univ-lr.fr</email>
<idno type="halAuthorId">363882</idno>
<affiliation ref="#struct-40831"></affiliation>
</author>
</analytic>
<monogr><meeting><title>22nd International Conference on Pattern Recognition (ICPR)</title>
<date type="start">2014-08-24</date>
<date type="end">2014-08-28</date>
<settlement>Stockholm</settlement>
<country key="SE">Sweden</country>
</meeting>
<imprint><biblScope unit="pp">4441 - 4446</biblScope>
</imprint>
</monogr>
<idno type="doi">10.1109/ICPR.2014.760</idno>
</biblStruct>
</sourceDesc>
<profileDesc><langUsage><language ident="en">English</language>
</langUsage>
<textClass><classCode scheme="halDomain" n="info.info-ts">Computer Science [cs]/Signal and Image Processing</classCode>
<classCode scheme="halDomain" n="info.info-tt">Computer Science [cs]/Document and Text Processing</classCode>
<classCode scheme="halTypology" n="COMM">Conference papers</classCode>
</textClass>
<abstract xml:lang="en">Blur is one of the most difficult distortions incamera captured documents. It degrades the visual quality of animage, and makes it difficult to read whether by a human or OCRsystems. This paper presents a novel non-blind deblurring methodthat combines the well known effective techniques of sparse representations and non-local image similarity. The presented problemformulation enables the use of standard sparse coding methodsfor solving sparse coding-based deblurring when enhanced bya non-local means prior. The method has been tested on bothsynthetic and real document images degraded with a variety ofblur kernels. The resulting deblurred images have high qualityin terms of both signal-to-noise ratio and OCR accuracy.</abstract>
</profileDesc>
</hal>
</record>
Pour manipuler ce document sous Unix (Dilib)
EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Hal/Corpus
HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000038 | SxmlIndent | more
Ou
HfdSelect -h $EXPLOR_AREA/Data/Hal/Corpus/biblio.hfd -nk 000038 | SxmlIndent | more
Pour mettre un lien sur cette page dans le réseau Wicri
{{Explor lien |wiki= Ticri/CIDE |area= OcrV1 |flux= Hal |étape= Corpus |type= RBID |clé= Hal:hal-01315620 |texte= Deblurring of Document Images Based on Sparse Representations Enhanced by Non-local Means }}
![]() | This area was generated with Dilib version V0.6.32. | ![]() |