Logo do repositório
 
Publicação

Scanned Compound Document Encoding Using Multiscale Recurrent Patterns

2010-09-17Artigo científico Acesso restrito
Ver registo simples
datacite.subject.fosCiências Naturais::Ciências da Computação e da Informação
datacite.subject.sdg03:Saúde de Qualidade
datacite.subject.sdg10:Reduzir as Desigualdades
datacite.subject.sdg11:Cidades e Comunidades Sustentáveis
dc.contributor.authorFrancisco, Nelson C.
dc.contributor.authorRodrigues, Nuno M. M.
dc.contributor.authorSilva, Eduardo A. B. da
dc.contributor.authorCarvalho, Murilo Bresciani de
dc.contributor.authorFaria, Sérgio M. M. de
dc.contributor.authorSilva, Vitor M. M.
dc.date.accessioned2025-12-04T15:19:34Z
dc.date.available2025-12-04T15:19:34Z
dc.date.issued2010-09-17
dc.description.abstractIn this paper, we propose a new encoder for scanned compound documents, based upon a recently introduced coding paradigm called multidimensional multiscale parser (MMP). MMP uses approximate pattern matching, with adaptive multiscale dictionaries that contain concatenations of scaled versions of previously encoded image blocks. These features give MMP the ability to adjust to the input image's characteristics, resulting in high coding efficiencies for a wide range of image types. This versatility makes MMP a good candidate for compound digital document encoding. The proposed algorithm first classifies the image blocks as smooth (texture) and nonsmooth (text and graphics). Smooth and nonsmooth blocks are then compressed using different MMP-based encoders, adapted for encoding either type of blocks. The adaptive use of these two types of encoders resulted in performance gains over the original MMP algorithm, further increasing the performance advantage over the current state-of-the-art image encoders for scanned compound images, without compromising the performance for other image types.eng
dc.identifier.citationN. C. Francisco, N. M. M. Rodrigues, E. A. B. da Silva, M. B. de Carvalho, S. M. M. de Faria and V. M. M. Silva, "Scanned Compound Document Encoding Using Multiscale Recurrent Patterns," in IEEE Transactions on Image Processing, vol. 19, no. 10, pp. 2712-2724, Oct. 2010, doi: https://doi.org/10.1109/TIP.2010.2049181.
dc.identifier.doi10.1109/tip.2010.2049181
dc.identifier.eissn1941-0042
dc.identifier.issn1057-7149
dc.identifier.urihttp://hdl.handle.net/10400.8/14878
dc.language.isoeng
dc.peerreviewedyes
dc.publisherIEEE Canada
dc.relation.hasversionhttps://ieeexplore.ieee.org/document/5454328
dc.relation.ispartofIEEE Transactions on Image Processing
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectAdaptive pattern matching
dc.subjectcompound images
dc.subjectdictionary based coding
dc.subjectimage coding
dc.subjectscanned document compression
dc.subjectvector quantization
dc.titleScanned Compound Document Encoding Using Multiscale Recurrent Patternseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage2724
oaire.citation.issue10
oaire.citation.startPage2712
oaire.citation.titleIEEE Transactions on Image Processing
oaire.citation.volume19
oaire.versionhttp://purl.org/coar/version/c_dc82b40f9837b551
person.familyNameFrancisco
person.familyNameM. M. Rodrigues
person.familyNameFaria
person.givenNameNelson
person.givenNameNuno
person.givenNameSergio
person.identifier.ciencia-id6917-B121-4E34
person.identifier.ciencia-id8815-4101-28DD
person.identifier.orcid0000-0002-0024-1061
person.identifier.orcid0000-0001-9536-1017
person.identifier.orcid0000-0002-0993-9124
person.identifier.ridC-5245-2011
person.identifier.scopus-author-id7006052345
person.identifier.scopus-author-id14027853900
relation.isAuthorOfPublicationc4ff55c8-2c2b-4c6f-b05d-3feeba876540
relation.isAuthorOfPublicationb4ebe652-7f0e-4e67-adb0-d5ea29fc9e69
relation.isAuthorOfPublicationf69bd4d6-a6ef-4d20-8148-575478909661
relation.isAuthorOfPublication.latestForDiscoveryc4ff55c8-2c2b-4c6f-b05d-3feeba876540

Ficheiros

Principais
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
Scanned compound document encoding using multiscale recurrent patterns.pdf
Tamanho:
2.91 MB
Formato:
Adobe Portable Document Format
Descrição:
In this paper, we propose a new encoder for scanned compound documents, based upon a recently introduced coding paradigm called multidimensional multiscale parser (MMP). MMP uses approximate pattern matching, with adaptive multiscale dictionaries that contain concatenations of scaled versions of previously encoded image blocks. These features give MMP the ability to adjust to the input image's characteristics, resulting in high coding efficiencies for a wide range of image types. This versatility makes MMP a good candidate for compound digital document encoding. The proposed algorithm first classifies the image blocks as smooth (texture) and nonsmooth (text and graphics). Smooth and nonsmooth blocks are then compressed using different MMP-based encoders, adapted for encoding either type of blocks. The adaptive use of these two types of encoders resulted in performance gains over the original MMP algorithm, further increasing the performance advantage over the current state-of-the-art image encoders for scanned compound images, without compromising the performance for other image types.
Ver/Abrir
Licença
A mostrar 1 - 1 de 1
Miniatura indisponível
Nome:
license.txt
Tamanho:
1.32 KB
Formato:
Item-specific license agreed upon to submission
Descrição:
Ver/Abrir

Coleções

ESTG - Artigos em revistas internacionais