| dc.contributor.author | Gerek, Ömer Nezih | |
| dc.contributor.author | Çetin, A. E. | |
| dc.contributor.author | Tevfik, A. H. | |
| dc.contributor.author | Atalay, V. | |
| dc.date.accessioned | 2019-10-18T19:02:33Z | |
| dc.date.available | 2019-10-18T19:02:33Z | |
| dc.date.issued | 1999 | |
| dc.identifier.issn | 1057-7149 | |
| dc.identifier.uri | https://dx.doi.org/10.1109/83.791969 | |
| dc.identifier.uri | https://hdl.handle.net/11421/10688 | |
| dc.description.abstract | In this work, a subband domain textual image compression method is developed. The document image is first decomposed into subimages using binary subband decompositions. Next, the character locations in the subbands and the symbol library consisting of the character images are encoded. The method is suitable for keyword search in the compressed data. It is observed that very high compression ratios are obtained with this method. Simulation studies are presented. | en_US |
| dc.language.iso | eng | en_US |
| dc.publisher | IEEE, Piscataway, NJ, United States | en_US |
| dc.relation.isversionof | 10.1109/83.791969 | en_US |
| dc.rights | info:eu-repo/semantics/closedAccess | en_US |
| dc.title | Subband domain coding of binary textual images for document archiving | en_US |
| dc.type | article | en_US |
| dc.relation.journal | IEEE Transactions on Image Processing | en_US |
| dc.contributor.department | Anadolu Üniversitesi | en_US |
| dc.identifier.volume | 8 | en_US |
| dc.identifier.issue | 10 | en_US |
| dc.identifier.startpage | 1438 | en_US |
| dc.identifier.endpage | 1446 | en_US |
| dc.relation.publicationcategory | Makale - Uluslararası Hakemli Dergi - Kurum Öğretim Elemanı | en_US |
| dc.contributor.institutionauthor | Gerek, Ömer Nezih | |
