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Colour image denoising by eigenvector analysis of neighbourhood colour samples

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Colour image denoising by eigenvector analysis of neighbourhood colour samples

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Latorre-Carmona, P.; Miñana, J.; Morillas, S. (2020). Colour image denoising by eigenvector analysis of neighbourhood colour samples. Signal Image and Video Processing. 14(3):483-490. https://doi.org/10.1007/s11760-019-01575-5

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Título: Colour image denoising by eigenvector analysis of neighbourhood colour samples
Autor: Latorre-Carmona, Pedro Miñana, Juan-José Morillas, Samuel
Entidad UPV: Universitat Politècnica de València. Departamento de Matemática Aplicada - Departament de Matemàtica Aplicada
Universitat Politècnica de València. Departamento de Ingeniería Gráfica - Departament d'Enginyeria Gràfica
Fecha difusión:
Resumen:
[EN] 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 ...[+]
Palabras clave: Colour image filter , Colour image smoothing , Eigenvectors , Gaussian noise , Principal components , Vector filter
Derechos de uso: Reserva de todos los derechos
Fuente:
Signal Image and Video Processing. (issn: 1863-1703 )
DOI: 10.1007/s11760-019-01575-5
Editorial:
Springer-Verlag
Versión del editor: https://doi.org/10.1007/s11760-019-01575-5
Tipo: Artículo

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