Wavelet transform-based filters are widely adopted for noise removal from grayscale digital images because these techniques can effectively combine cancellation of noise and preservation of image details. The aim of this paper is to provide accurate quantitative evaluations of these key filtering features without the limitations (and the errors) of current metrics. For the first time, the exact amounts of filtering distortion and unfiltered noise produced by a wavelet-based denoising filter are formally computed resorting to the filter theory only. Computer simulations are reported in the paper in order to show how residual noise and filtering distortion affect the results at the pixel level. Comparisons with current metrics are also provided.
A method for performance analysis of grayscale image denoising techniques based on the wavelet transform
Russo F.
2019-01-01
Abstract
Wavelet transform-based filters are widely adopted for noise removal from grayscale digital images because these techniques can effectively combine cancellation of noise and preservation of image details. The aim of this paper is to provide accurate quantitative evaluations of these key filtering features without the limitations (and the errors) of current metrics. For the first time, the exact amounts of filtering distortion and unfiltered noise produced by a wavelet-based denoising filter are formally computed resorting to the filter theory only. Computer simulations are reported in the paper in order to show how residual noise and filtering distortion affect the results at the pixel level. Comparisons with current metrics are also provided.File | Dimensione | Formato | |
---|---|---|---|
b442005-akp.pdf
Accesso chiuso
Descrizione: Articolo pubblicato
Tipologia:
Documento in Versione Editoriale
Licenza:
Copyright Editore
Dimensione
2.34 MB
Formato
Adobe PDF
|
2.34 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
A Method for Performance Analysis.pdf
Accesso chiuso
Descrizione: revised paper
Tipologia:
Bozza finale post-referaggio (post-print)
Licenza:
Digital Rights Management non definito
Dimensione
2.32 MB
Formato
Adobe PDF
|
2.32 MB | Adobe PDF | Visualizza/Apri Richiedi una copia |
Pubblicazioni consigliate
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.