An iteratively reweighted norm algorithm for minimization of total variation functionals

Brendt Wohlberg, Paul Rodriguez

Producción científica: Contribución a una revistaArtículorevisión exhaustiva

99 Citas (Scopus)

Resumen

Total variation (TV) regularization has become a popular method for a wide variety of image restoration problems, including denoising and deconvolution. A number of authors have recently noted the advantages of replacing the standard ℓ2 data fidelity term with an ℓ1 norm. We propose a simple but very flexible method for solving a generalized TV functional that includes both the ℓ2-TV ℓ1-TV and ℓ2-TV problems as special cases. This method offers competitive computational performance for ℓ2-TV and is comparable to or faster than any other ℓ1-TV algorithms of which we are aware.

Idioma originalInglés
Páginas (desde-hasta)948-951
Número de páginas4
PublicaciónIEEE Signal Processing Letters
Volumen14
N.º12
DOI
EstadoPublicada - dic. 2007
Publicado de forma externa

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