Image denoising with 2D scale-mixing complex wavelet transforms

Norbert Remenyi, Orietta Nicolis, Guy Nason, Brani Vidakovic

Resultado de la investigación: Contribución a una revistaArtículorevisión exhaustiva

27 Citas (Scopus)

Resumen

This paper introduces an image denoising procedure based on a 2D scale-mixing complex-valued wavelet transform. Both the minimal (unitary) and redundant (maximum overlap) versions of the transform are used. The covariance structure of white noise in wavelet domain is established. Estimation is performed via empirical Bayesian techniques, including versions that preserve the phase of the complex-valued wavelet coefficients and those that do not. The new procedure exhibits excellent quantitative and visual performance, which is demonstrated by simulation on standard test images.

Idioma originalInglés
Número de artículo6918447
Páginas (desde-hasta)5165-5174
Número de páginas10
PublicaciónIEEE Transactions on Image Processing
Volumen23
N.º12
DOI
EstadoPublicada - 1 dic 2014

Áreas temáticas de ASJC Scopus

  • Software
  • Infografía y diseno asistido por ordenador

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