Colour image denoising by eigenvector analysis of neighbourhood colour samples
Ver/ Abrir
Impacto
Scholar |
Otros documentos de la autoría: Latorre Carmona, Pedro; Miñana Prats, Juan José; Morillas, Samuel
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/43662
comunitat-uji-handle3:10234/43643
comunitat-uji-handle4:
INVESTIGACIONMetadatos
Título
Colour image denoising by eigenvector analysis of neighbourhood colour samplesFecha de publicación
2020-04Editor
SpringerISSN
1863-1703; 1863-1711Cita bibliográfica
Latorre-Carmona, P., Miñana, J. & Morillas, S. Colour image denoising by eigenvector analysis of neighbourhood colour samples. Signal, Image and Video Processing, 2020, vol. 14, núm. 3Tipo de documento
info:eu-repo/semantics/articleVersión de la editorial
https://link.springer.com/article/10.1007/s11760-019-01575-5Versión
info:eu-repo/semantics/acceptedVersionPalabras clave / Materias
Resumen
Colour image smoothing is a challenging task
because it is necessary to appropriately distinguish between noise and original structures, and to smooth noise
conveniently. In addition, this processing must take ... [+]
Colour image smoothing is a challenging task
because it is necessary to appropriately distinguish between noise and original structures, and to smooth noise
conveniently. In addition, this processing must take into
account the correlation among the image colour channels. In this paper, we introduce a novel colour image
denoising method where each image pixel is processed
according to an eigenvector analysis of a data matrix
built from the pixel neighbourhood colour values. The
aim of this eigenvector analysis is threefold: (i) to manage the local correlation among the colour image channels, (ii) to distinguish between flat and edge/textured
regions, and (iii) to determine the amount of needed
smoothing. Comparisons with classical and recent methods show that the proposed approach is competitive and
able to provide significative improvements. [-]
Publicado en
Signal, Image and Video Processing, 2020, núm 14Derechos de acceso
"This is a post-peer-review, pre-copyedit version of an article published in Signal, Image and Video Processing. The final authenticated version is available online at: https://doi.org/10.1007/s11760-019-01575-5".
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/openAccess
http://rightsstatements.org/vocab/InC/1.0/
info:eu-repo/semantics/openAccess
Aparece en las colecciones
- INIT_Articles [748]