OcrV1, Main, Exploration, bibRecord, 000D32

Algorithm of contrast enhancement for the visual document images with underexposure

Identifieur interne : 000D32 ( Main/Exploration ); précédent : 000D31; suivant : 000D33

Algorithm of contrast enhancement for the visual document images with underexposure

Auteurs : Da-Zeng Tian [République populaire de Chine] ; Yong Hao [République populaire de Chine] ; Ming-Hu Ha [République populaire de Chine] ; Xue-Dong Tian [République populaire de Chine] ; Yan Ha [République populaire de Chine]

Source :

Proceedings of SPIE - The International Society for Optical Engineering [ 0277-786X ] ; 2008.

RBID : Pascal:08-0375790

Descripteurs français

Pascal (Inist)
- Reconnaissance image, Algorithme, Etude expérimentale, Qualité image, Image numérique, Traitement image document, Reconnaissance optique caractère, Implémentation, Histogramme, Egalisation, Reconnaissance forme, Traitement image, 0130C, 4230S, 4230V, Arrière plan, Avant plan.

English descriptors

KwdEn :
- Algorithm, Background, Digital image, Document image processing, Equalization, Experimental study, Foreground, Histogram, Image processing, Image quality, Image recognition, Implementation, Optical character recognition, Pattern recognition.

Abstract

The visual document image is the electronic image about newspapers, books or magazines taken by the digital camera, the digital vidicon etc. Whose getting is more convenient than got from the scanner. Along with the development of OCR technology, visual document images could be recognized by OCR. Affected by some factors, digital image will be degraded during its acquisition, processing, transmission. One of the main problems affecting image quality, leading to unpleasant pictures, comes from improper exposure to light. So preprocessing is becoming much more significant before recognition in order to get an appropriate image satisfied recognition requirements. For the low contrast images with underexposure, according to the visual document image's characteristic, a new algorithm, based on image background separation, for image object enhance is proposed. The proposed method calculate the threshold of separation firstly, And different processing be taken on foreground and background: Various gray values in image background will be merged into unitary gray value, whereas the contrast of foreground will be enhanced. The proposed algorithm implemented in Visual C++ 6.0, and compared the result of proposed algorithm with the results of Otsu's method and histogram equalization. The experimental results show clearly that this algorithm could enhance the details of image object adequately, increase the recognition rate, and avoid the block effect at the same time.

Affiliations:

République populaire de Chine

Links toward previous steps (curation, corpus...)

to stream PascalFrancis, to step Corpus: 000273
to stream PascalFrancis, to step Curation: 000511
to stream PascalFrancis, to step Checkpoint: 000254
to stream Main, to step Merge: 000D44
to stream Main, to step Curation: 000D32

Le document en format XML

<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Algorithm of contrast enhancement for the visual document images with underexposure</title>
<author><name sortKey="Tian, Da Zeng" sort="Tian, Da Zeng" uniqKey="Tian D" first="Da-Zeng" last="Tian">Da-Zeng Tian</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>College of Physics Science and Technology, Hebei University</s1>
<s2>Baoding, 071002</s2>
<s3>CHN</s3>
<sZ>1 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>République populaire de Chine</country>
<wicri:noRegion>Baoding, 071002</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Hao, Yong" sort="Hao, Yong" uniqKey="Hao Y" first="Yong" last="Hao">Yong Hao</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>College of Mathematics and Computer Sciences, Hebei University</s1>
<s2>Baoding, 071002</s2>
<s3>CHN</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
</inist:fA14>
<country>République populaire de Chine</country>
<wicri:noRegion>Baoding, 071002</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Ha, Ming Hu" sort="Ha, Ming Hu" uniqKey="Ha M" first="Ming-Hu" last="Ha">Ming-Hu Ha</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>College of Mathematics and Computer Sciences, Hebei University</s1>
<s2>Baoding, 071002</s2>
<s3>CHN</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
</inist:fA14>
<country>République populaire de Chine</country>
<wicri:noRegion>Baoding, 071002</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Tian, Xue Dong" sort="Tian, Xue Dong" uniqKey="Tian X" first="Xue-Dong" last="Tian">Xue-Dong Tian</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>College of Mathematics and Computer Sciences, Hebei University</s1>
<s2>Baoding, 071002</s2>
<s3>CHN</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
</inist:fA14>
<country>République populaire de Chine</country>
<wicri:noRegion>Baoding, 071002</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Ha, Yan" sort="Ha, Yan" uniqKey="Ha Y" first="Yan" last="Ha">Yan Ha</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>College of Physics Science and Technology, Hebei University</s1>
<s2>Baoding, 071002</s2>
<s3>CHN</s3>
<sZ>1 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>République populaire de Chine</country>
<wicri:noRegion>Baoding, 071002</wicri:noRegion>
</affiliation>
</author>
</titleStmt>
<publicationStmt><idno type="wicri:source">INIST</idno>
<idno type="inist">08-0375790</idno>
<date when="2008">2008</date>
<idno type="stanalyst">PASCAL 08-0375790 INIST</idno>
<idno type="RBID">Pascal:08-0375790</idno>
<idno type="wicri:Area/PascalFrancis/Corpus">000273</idno>
<idno type="wicri:Area/PascalFrancis/Curation">000511</idno>
<idno type="wicri:Area/PascalFrancis/Checkpoint">000254</idno>
<idno type="wicri:doubleKey">0277-786X:2008:Tian D:algorithm:of:contrast</idno>
<idno type="wicri:Area/Main/Merge">000D44</idno>
<idno type="wicri:Area/Main/Curation">000D32</idno>
<idno type="wicri:Area/Main/Exploration">000D32</idno>
</publicationStmt>
<sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Algorithm of contrast enhancement for the visual document images with underexposure</title>
<author><name sortKey="Tian, Da Zeng" sort="Tian, Da Zeng" uniqKey="Tian D" first="Da-Zeng" last="Tian">Da-Zeng Tian</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>College of Physics Science and Technology, Hebei University</s1>
<s2>Baoding, 071002</s2>
<s3>CHN</s3>
<sZ>1 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>République populaire de Chine</country>
<wicri:noRegion>Baoding, 071002</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Hao, Yong" sort="Hao, Yong" uniqKey="Hao Y" first="Yong" last="Hao">Yong Hao</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>College of Mathematics and Computer Sciences, Hebei University</s1>
<s2>Baoding, 071002</s2>
<s3>CHN</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
</inist:fA14>
<country>République populaire de Chine</country>
<wicri:noRegion>Baoding, 071002</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Ha, Ming Hu" sort="Ha, Ming Hu" uniqKey="Ha M" first="Ming-Hu" last="Ha">Ming-Hu Ha</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>College of Mathematics and Computer Sciences, Hebei University</s1>
<s2>Baoding, 071002</s2>
<s3>CHN</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
</inist:fA14>
<country>République populaire de Chine</country>
<wicri:noRegion>Baoding, 071002</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Tian, Xue Dong" sort="Tian, Xue Dong" uniqKey="Tian X" first="Xue-Dong" last="Tian">Xue-Dong Tian</name>
<affiliation wicri:level="1"><inist:fA14 i1="02"><s1>College of Mathematics and Computer Sciences, Hebei University</s1>
<s2>Baoding, 071002</s2>
<s3>CHN</s3>
<sZ>2 aut.</sZ>
<sZ>3 aut.</sZ>
<sZ>4 aut.</sZ>
</inist:fA14>
<country>République populaire de Chine</country>
<wicri:noRegion>Baoding, 071002</wicri:noRegion>
</affiliation>
</author>
<author><name sortKey="Ha, Yan" sort="Ha, Yan" uniqKey="Ha Y" first="Yan" last="Ha">Yan Ha</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>College of Physics Science and Technology, Hebei University</s1>
<s2>Baoding, 071002</s2>
<s3>CHN</s3>
<sZ>1 aut.</sZ>
<sZ>5 aut.</sZ>
</inist:fA14>
<country>République populaire de Chine</country>
<wicri:noRegion>Baoding, 071002</wicri:noRegion>
</affiliation>
</author>
</analytic>
<series><title level="j" type="main">Proceedings of SPIE - The International Society for Optical Engineering</title>
<idno type="ISSN">0277-786X</idno>
<imprint><date when="2008">2008</date>
</imprint>
</series>
</biblStruct>
</sourceDesc>
<seriesStmt><title level="j" type="main">Proceedings of SPIE - The International Society for Optical Engineering</title>
<idno type="ISSN">0277-786X</idno>
</seriesStmt>
</fileDesc>
<profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Algorithm</term>
<term>Background</term>
<term>Digital image</term>
<term>Document image processing</term>
<term>Equalization</term>
<term>Experimental study</term>
<term>Foreground</term>
<term>Histogram</term>
<term>Image processing</term>
<term>Image quality</term>
<term>Image recognition</term>
<term>Implementation</term>
<term>Optical character recognition</term>
<term>Pattern recognition</term>
</keywords>
<keywords scheme="Pascal" xml:lang="fr"><term>Reconnaissance image</term>
<term>Algorithme</term>
<term>Etude expérimentale</term>
<term>Qualité image</term>
<term>Image numérique</term>
<term>Traitement image document</term>
<term>Reconnaissance optique caractère</term>
<term>Implémentation</term>
<term>Histogramme</term>
<term>Egalisation</term>
<term>Reconnaissance forme</term>
<term>Traitement image</term>
<term>0130C</term>
<term>4230S</term>
<term>4230V</term>
<term>Arrière plan</term>
<term>Avant plan</term>
</keywords>
</textClass>
</profileDesc>
</teiHeader>
<front><div type="abstract" xml:lang="en">The visual document image is the electronic image about newspapers, books or magazines taken by the digital camera, the digital vidicon etc. Whose getting is more convenient than got from the scanner. Along with the development of OCR technology, visual document images could be recognized by OCR. Affected by some factors, digital image will be degraded during its acquisition, processing, transmission. One of the main problems affecting image quality, leading to unpleasant pictures, comes from improper exposure to light. So preprocessing is becoming much more significant before recognition in order to get an appropriate image satisfied recognition requirements. For the low contrast images with underexposure, according to the visual document image's characteristic, a new algorithm, based on image background separation, for image object enhance is proposed. The proposed method calculate the threshold of separation firstly, And different processing be taken on foreground and background: Various gray values in image background will be merged into unitary gray value, whereas the contrast of foreground will be enhanced. The proposed algorithm implemented in Visual C++ 6.0, and compared the result of proposed algorithm with the results of Otsu's method and histogram equalization. The experimental results show clearly that this algorithm could enhance the details of image object adequately, increase the recognition rate, and avoid the block effect at the same time.</div>
</front>
</TEI>
<affiliations><list><country><li>République populaire de Chine</li>
</country>
</list>
<tree><country name="République populaire de Chine"><noRegion><name sortKey="Tian, Da Zeng" sort="Tian, Da Zeng" uniqKey="Tian D" first="Da-Zeng" last="Tian">Da-Zeng Tian</name>
</noRegion>
<name sortKey="Ha, Ming Hu" sort="Ha, Ming Hu" uniqKey="Ha M" first="Ming-Hu" last="Ha">Ming-Hu Ha</name>
<name sortKey="Ha, Yan" sort="Ha, Yan" uniqKey="Ha Y" first="Yan" last="Ha">Yan Ha</name>
<name sortKey="Hao, Yong" sort="Hao, Yong" uniqKey="Hao Y" first="Yong" last="Hao">Yong Hao</name>
<name sortKey="Tian, Xue Dong" sort="Tian, Xue Dong" uniqKey="Tian X" first="Xue-Dong" last="Tian">Xue-Dong Tian</name>
</country>
</tree>
</affiliations>
</record>

Pour manipuler ce document sous Unix (Dilib)

EXPLOR_STEP=$WICRI_ROOT/Ticri/CIDE/explor/OcrV1/Data/Main/Exploration

HfdSelect -h $EXPLOR_STEP/biblio.hfd -nk 000D32 | SxmlIndent | more

HfdSelect -h $EXPLOR_AREA/Data/Main/Exploration/biblio.hfd -nk 000D32 | SxmlIndent | more

Pour mettre un lien sur cette page dans le réseau Wicri

{{Explor lien
   |wiki=    Ticri/CIDE
   |area=    OcrV1
   |flux=    Main
   |étape=   Exploration
   |type=    RBID
   |clé=     Pascal:08-0375790
   |texte=   Algorithm of contrast enhancement for the visual document images with underexposure
}}

This area was generated with Dilib version V0.6.32.
Data generation: Sat Nov 11 16:53:45 2017. Site generation: Mon Mar 11 23:15:16 2024

	Serveur d'exploration sur l'OCR
	Attention, ce site est en cours de développement ! Attention, site généré par des moyens informatiques à partir de corpus bruts. Les informations ne sont donc pas validées.

Serveur d'exploration sur l'OCR

Algorithm of contrast enhancement for the visual document images with underexposure

Algorithm of contrast enhancement for the visual document images with underexposure

Source :

Descripteurs français

English descriptors

Abstract

Links toward previous steps (curation, corpus...)

Le document en format XML

Pour manipuler ce document sous Unix (Dilib)

Pour mettre un lien sur cette page dans le réseau Wicri