Pyramid-Based Multiresolution Adaptive Filters for Additive and Multiplicative Image Noise (Articolo in rivista)

Type
Label
  • Pyramid-Based Multiresolution Adaptive Filters for Additive and Multiplicative Image Noise (Articolo in rivista) (literal)
Anno
  • 1998-01-01T00:00:00+01:00 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#doi
  • 10.1109/82.718817 (literal)
Alternative label
  • Bruno Aiazzi; Luciano Alparone; Stefano Baronti; Giorgio Borri (1998)
    Pyramid-Based Multiresolution Adaptive Filters for Additive and Multiplicative Image Noise
    in IEEE transactions on circuits and systems. 2, Analog and digital signal processing (Print); IEEE-Institute Of Electrical And Electronics Engineers Inc., Piscataway (Stati Uniti d'America)
    (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#autori
  • Bruno Aiazzi; Luciano Alparone; Stefano Baronti; Giorgio Borri (literal)
Pagina inizio
  • 1092 (literal)
Pagina fine
  • 1097 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#url
  • http://ieeexplore.ieee.org/xpl/articleDetails.jsp?arnumber=718817 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroVolume
  • 45 (literal)
Rivista
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  • 6 (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#numeroFascicolo
  • 8 (literal)
Note
  • Google Scholar (literal)
  • ISI Web of Science (WOS) (literal)
  • Scopu (literal)
Http://www.cnr.it/ontology/cnr/pubblicazioni.owl#affiliazioni
  • Nello Carrara Research Institute on Electromagnetic Waves, IROE-CNR, I-50127 Florence, Italy Department of Electronic Engineering, University of Florence, I-50139 Florence, Italy Nello Carrara Research Institute on Electromagnetic Waves, IROE-CNR, I-50127 Florence, Italy CERN, Geneva, Switzerland, on leave from the Department of Electronic Engineering, University of Florence, I-50139 Florence, Italy (literal)
Titolo
  • Pyramid-Based Multiresolution Adaptive Filters for Additive and Multiplicative Image Noise (literal)
Abstract
  • In this brief, adaptive filtering is applied to the different resolutions of the Laplacian pyramid of a noisy image. For natural images, each layer is characterized by an SNR that increases as resolution decreases. Therefore, each filter may be adjusted to achieve adaptivity also across scales. Theoretical frameworks are developed for signaldependent noise models. A rational Laplacian pyramid is employed to handle multiplicative noise. Experiments carried out on gray-level images corrupted by true and simulated noise, show the potentiality of the approach compared to other established algorithms, in terms both of SNR improvements and of enhancement in visual quality. (literal)
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