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- Publisher Website: 10.1109/TIP.2010.2048971
- Scopus: eid_2-s2.0-77956957589
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Article: User-assisted ink-bleed reduction
Title | User-assisted ink-bleed reduction |
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Authors | |
Keywords | Document imaging processing Dual-layer markov random field (mrf) Ink-bleed reduction |
Issue Date | 2010 |
Citation | IEEE Transactions on Image Processing, 2010, v. 19, n. 10, p. 2646-2658 How to Cite? |
Abstract | This paper presents a novel user-assisted approach to reduce ink-bleed interference found in old manuscripts. The problem is addressed by first having the user provide simple examples of foreground ink, ink-bleed, and the manuscript's background. From this small amount of user-labeled data, likelihoods of each pixel being foreground, ink-bleed, or background are computed and used as the data costs of a dual-layer Markov random field (MRF) that simultaneously labels all pixels in both the front and back sides of the manuscript. This user-assisted approach produces better results than existing algorithms without the need for extensive parameter tuning or prior assumptions about the inkbleed intensity characteristics. Our overall application framework is discussed along with details of the features used in the data costs, a comparison between -nearest neighbor and support vector machine for likelihood estimation, the dual-layer MRF formulation with associated inter- and intra-layer costs, and a comparison of our approach against other ink-bleed reduction algorithms. © 2010 IEEE. |
Persistent Identifier | http://hdl.handle.net/10722/321417 |
ISSN | 2023 Impact Factor: 10.8 2023 SCImago Journal Rankings: 3.556 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Huang, Yi | - |
dc.contributor.author | Brown, Michael S. | - |
dc.contributor.author | Xu, Dong | - |
dc.date.accessioned | 2022-11-03T02:18:47Z | - |
dc.date.available | 2022-11-03T02:18:47Z | - |
dc.date.issued | 2010 | - |
dc.identifier.citation | IEEE Transactions on Image Processing, 2010, v. 19, n. 10, p. 2646-2658 | - |
dc.identifier.issn | 1057-7149 | - |
dc.identifier.uri | http://hdl.handle.net/10722/321417 | - |
dc.description.abstract | This paper presents a novel user-assisted approach to reduce ink-bleed interference found in old manuscripts. The problem is addressed by first having the user provide simple examples of foreground ink, ink-bleed, and the manuscript's background. From this small amount of user-labeled data, likelihoods of each pixel being foreground, ink-bleed, or background are computed and used as the data costs of a dual-layer Markov random field (MRF) that simultaneously labels all pixels in both the front and back sides of the manuscript. This user-assisted approach produces better results than existing algorithms without the need for extensive parameter tuning or prior assumptions about the inkbleed intensity characteristics. Our overall application framework is discussed along with details of the features used in the data costs, a comparison between -nearest neighbor and support vector machine for likelihood estimation, the dual-layer MRF formulation with associated inter- and intra-layer costs, and a comparison of our approach against other ink-bleed reduction algorithms. © 2010 IEEE. | - |
dc.language | eng | - |
dc.relation.ispartof | IEEE Transactions on Image Processing | - |
dc.subject | Document imaging processing | - |
dc.subject | Dual-layer markov random field (mrf) | - |
dc.subject | Ink-bleed reduction | - |
dc.title | User-assisted ink-bleed reduction | - |
dc.type | Article | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/TIP.2010.2048971 | - |
dc.identifier.scopus | eid_2-s2.0-77956957589 | - |
dc.identifier.volume | 19 | - |
dc.identifier.issue | 10 | - |
dc.identifier.spage | 2646 | - |
dc.identifier.epage | 2658 | - |
dc.identifier.isi | WOS:000283593800011 | - |