Subband coding of binary textual images for document retrieval

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buir.contributor.authorÇetin, A. Enis
buir.contributor.orcidÇetin, A. Enis|0000-0002-3449-1958
dc.citation.epage902en_US
dc.citation.spage899en_US
dc.contributor.authorGerek, Ömer N.en_US
dc.contributor.authorÇetin, A. Enisen_US
dc.contributor.authorTevfik, A. H.en_US
dc.coverage.spatialLausanne, Switzerlanden_US
dc.date.accessioned2016-02-08T12:00:27Z
dc.date.available2016-02-08T12:00:27Z
dc.date.issued1996en_US
dc.departmentDepartment of Electrical and Electronics Engineeringen_US
dc.descriptionDate of Conference: 16-19 September 1996en_US
dc.descriptionConference Name: 3rd IEEE International Conference on Image Processing, IEEE 1996en_US
dc.description.abstractEfficient compression of binary textual images is very important for applications such as document archiving and retrieval, digital libraries and facsimile. The basic property of a textual image is the repetitions of small character images and curves inside the document. Exploiting the redundancy of these repetitions is the key step in most of the coding algorithms. In this paper, we use a similar compression method in subband domain. Four different subband decomposition schemes are described and their performances on textual image compression algorithm is examined. Experimentally, it is found that the described methods accomplish high compression ratios and they are suitable for fast database access and keyword search.en_US
dc.description.provenanceMade available in DSpace on 2016-02-08T12:00:27Z (GMT). No. of bitstreams: 1 bilkent-research-paper.pdf: 70227 bytes, checksum: 26e812c6f5156f83f0e77b261a471b5a (MD5) Previous issue date: 1996en
dc.identifier.doi10.1109/ICIP.1996.561050en_US
dc.identifier.urihttp://hdl.handle.net/11693/27731
dc.language.isoEnglishen_US
dc.publisherIEEEen_US
dc.relation.isversionofhttps://doi.org/10.1109/ICIP.1996.561050en_US
dc.source.titleProceedings of the 3rd IEEE International Conference on Image Processing, IEEE 1996en_US
dc.subjectAlgorithmsen_US
dc.subjectBinary codesen_US
dc.subjectDatabase systemsen_US
dc.subjectImage codingen_US
dc.subjectInformation retrieval systemsen_US
dc.subjectOptical character recognitionen_US
dc.subjectBinary textual imagesen_US
dc.subjectImage compression ratioen_US
dc.subjectImage compressionen_US
dc.titleSubband coding of binary textual images for document retrievalen_US
dc.typeConference Paperen_US

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