An automatic framework for segmentation and digital inpainting of 2d frontal face images

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dc.contributor.authorSOBIECKI, A.
dc.contributor.authorGIRALDI, G. A.
dc.contributor.authorPEREIRA, NEVES. L. A.
dc.contributor.authorCarlos E. Thomaz
dc.contributor.authorOrcidhttps://orcid.org/0000-0001-5566-1963
dc.date.accessioned2022-01-12T22:02:11Z
dc.date.available2022-01-12T22:02:11Z
dc.date.issued2012-01-05
dc.description.abstractNowadays applications that use face images as input for people identification have been very common. In general, the input image must be preprocessed in order to fit some normalization and quality criteria. In this paper, we propose a computational framework composed of digital image quality computation, segmentation of the damaged regions on face images by statistical decision, morphological operators and image restoration by inpainting techniques. Additionally, in this work we propose a new method for digital inpainting that considers as relevant information for such restoration the neighboring pixel intensities as well as prior information extracted from an image database. To assess the efficiency of the computational framework proposed, we have used 2D face images from public databases. The results show that our inpainting method performs similarly to the traditional ones on quasi-homogeneous regions and gives better results when the damaged areas includes complex image patterns. © 2003-2012 IEEE.
dc.description.firstpage2263
dc.description.issuenumber6
dc.description.lastpage2272
dc.description.volume10
dc.identifier.citationSOBIECKI, A.; GIRALDI, G. A.; PEREIRA, NEVES. L. A.; THOMAZ, C. E. An automatic framework for segmentation and digital inpainting of 2d frontal face images. IEEE Latin America Transactions, v. 10, n. 6418131, p .2263-2272, 2012.
dc.identifier.doi10.1109/TLA.2012.6418131
dc.identifier.issn1548-0992
dc.identifier.urihttps://repositorio.fei.edu.br/handle/FEI/4118
dc.relation.ispartofIEEE Latin America Transactions
dc.rightsAcesso Restrito
dc.subject.otherlanguageface images
dc.subject.otherlanguageImage Processing
dc.subject.otherlanguageinpainting
dc.subject.otherlanguagesegmentation
dc.titleAn automatic framework for segmentation and digital inpainting of 2d frontal face images
dc.typeArtigo
fei.scopus.citations8
fei.scopus.eid2-s2.0-84873803335
fei.scopus.subjectComplex image
fei.scopus.subjectComputational framework
fei.scopus.subjectDamaged area
fei.scopus.subjectDamaged region
fei.scopus.subjectDigital image
fei.scopus.subjectDigital inpainting
fei.scopus.subjectFace images
fei.scopus.subjectFrontal faces
fei.scopus.subjectImage database
fei.scopus.subjectInpainting
fei.scopus.subjectInpainting method
fei.scopus.subjectInpainting techniques
fei.scopus.subjectInput image
fei.scopus.subjectMorphological operator
fei.scopus.subjectPeople identification
fei.scopus.subjectPixel intensities
fei.scopus.subjectPrior information
fei.scopus.subjectPublic database
fei.scopus.subjectQuality criteria
fei.scopus.subjectStatistical decision
fei.scopus.updated2024-07-01
fei.scopus.urlhttps://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84873803335&origin=inward
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