Context-based filtering of document images
Identifieur interne : 001C76 ( Main/Exploration ); précédent : 001C75; suivant : 001C77Context-based filtering of document images
Auteurs : E. Ageenko [Finlande] ; P. Fr Nti [Finlande]Source :
- Pattern Recognition Letters [ 0167-8655 ] ; 1999.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Méthode statistique.
English descriptors
- KwdEn :
Abstract
Two statistical context-based filters are introduced for the enhancement of binary document images for compression and recognition. The simple context filter unconditionally changes uncommon pixels in low information contexts, whereas the gain–loss filter (GLF) changes the pixels conditionally depending on whether the gain in compression outweighs the loss of information. The filtering methods alleviate the loss in compression performance caused by digitization noise while preserving the image quality measured as the optical character recognition (OCR) accuracy. The GLF reaches approximately the compression limit estimated by the compression of the noiseless digital original.
Url:
DOI: 10.1016/S0167-8655(00)00011-8
Affiliations:
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Le document en format XML
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Ageenko</name><affiliation wicri:level="1"><country xml:lang="fr">Finlande</country><wicri:regionArea>Department of Computer Science, University of Joensuu, Box 111, FIN-80101 Joensuu</wicri:regionArea><wicri:noRegion>FIN-80101 Joensuu</wicri:noRegion></affiliation><affiliation wicri:level="1"><country wicri:rule="url">Finlande</country></affiliation></author><author><name sortKey="Fr Nti, P" sort="Fr Nti, P" uniqKey="Fr Nti P" first="P." last="Fr Nti">P. Fr Nti</name><affiliation wicri:level="1"><country xml:lang="fr">Finlande</country><wicri:regionArea>Department of Computer Science, University of Joensuu, Box 111, FIN-80101 Joensuu</wicri:regionArea><wicri:noRegion>FIN-80101 Joensuu</wicri:noRegion></affiliation></author></analytic><monogr></monogr><series><title level="j">Pattern Recognition Letters</title><title level="j" type="abbrev">PATREC</title><idno type="ISSN">0167-8655</idno><imprint><publisher>ELSEVIER</publisher><date type="published" when="1999">1999</date><biblScope unit="volume">21</biblScope><biblScope unit="issue">6–7</biblScope><biblScope unit="page" from="483">483</biblScope><biblScope unit="page" to="491">491</biblScope></imprint><idno type="ISSN">0167-8655</idno></series><idno type="istex">B3D498D9F5AC28B24926C2F49667CCD0F3650151</idno><idno type="DOI">10.1016/S0167-8655(00)00011-8</idno><idno type="PII">S0167-8655(00)00011-8</idno></biblStruct></sourceDesc><seriesStmt><idno type="ISSN">0167-8655</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Context-based filtering</term><term>Image analysis</term><term>Image compression</term><term>Image enhancement</term><term>Image quality</term><term>Mathematical models</term><term>Noise removal</term><term>Optical character recognition</term><term>Statistical methods</term><term>Theory</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Amélioration image</term><term>Analyse image</term><term>Compression image</term><term>Modèle mathématique</term><term>Méthode statistique</term><term>Qualité image</term><term>Reconnaissance optique caractère</term><term>Théorie</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Méthode statistique</term></keywords></textClass><langUsage><language ident="en">en</language></langUsage></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Two statistical context-based filters are introduced for the enhancement of binary document images for compression and recognition. The simple context filter unconditionally changes uncommon pixels in low information contexts, whereas the gain–loss filter (GLF) changes the pixels conditionally depending on whether the gain in compression outweighs the loss of information. The filtering methods alleviate the loss in compression performance caused by digitization noise while preserving the image quality measured as the optical character recognition (OCR) accuracy. The GLF reaches approximately the compression limit estimated by the compression of the noiseless digital original.</div></front></TEI><affiliations><list><country><li>Finlande</li></country></list><tree><country name="Finlande"><noRegion><name sortKey="Ageenko, E" sort="Ageenko, E" uniqKey="Ageenko E" first="E." last="Ageenko">E. Ageenko</name></noRegion><name sortKey="Ageenko, E" sort="Ageenko, E" uniqKey="Ageenko E" first="E." last="Ageenko">E. Ageenko</name><name sortKey="Fr Nti, P" sort="Fr Nti, P" uniqKey="Fr Nti P" first="P." last="Fr Nti">P. 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