http://www.cnr.it/ontology/cnr/individuo/prodotto/ID68285
Independent component analysis for document restoration (Articolo in rivista)
- Type
- Label
- Independent component analysis for document restoration (Articolo in rivista) (literal)
- Anno
- 2004-01-01T00:00:00+01:00 (literal)
- Alternative label
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
- Tonazzini A.; Bedini L.; Salerno E. (literal)
- Pagina inizio
- Pagina fine
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
- Rivista
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#note
- Springer, 2004. (literal)
- Note
- Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
- Titolo
- Independent component analysis for document restoration (literal)
- Abstract
- We propose a novel approach to restoring
digital document images, with the aim of improving
text legibility and OCR performance. These
are often compromised by the presence of artifacts in
the background, derived from many kinds of degradations,
such as spots, underwritings, and show-through
or bleed-through effects. So far, background removal
techniques have been based on local, adaptive filters
and morphological-structural operators to cope with frequent
low-contrast situations. For the specific problem of
bleed-through/show-through, most work has been based
on the comparison between the front and back pages.
This, however, requires a preliminary registration of the
two images. Our approach is based on viewing the problem
as one of separating overlapped texts and then reformulating
it as a blind source separation problem, approached
through independent component analysis techniques.
These methods have the advantage that no models
are required for the background. In addition, we use
the spectral components of the image at different bands,
so that there is no need for registration. Examples of
bleed-through cancellation and recovery of underwriting
from palimpsests are provided. (literal)
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