This paper focuses on a novel approach for image denoising: WISDOW (Wavelet based Image and Signal De-noising via Overlapping Waves). It is based on approximating any singularity by means of a basic one in a wavelet domain. This approach allows us to reach some interesting mathematical properties along with good performances in terms of both subjective and objective quality. In fact, achieved results are comparable to the best wavelet approaches requiring a low computational effort and resulting completely automatic.
Image De-noising via Overlapping Wavelet Atoms / Bruni, Vittoria; Vitulano, D.. - STAMPA. - 3211:(2004), pp. 179-186. (Intervento presentato al convegno International Conference on Image Analysis and Recognition tenutosi a Portogallo nel 2004).
Image De-noising via Overlapping Wavelet Atoms
BRUNI, VITTORIA;D. Vitulano
2004
Abstract
This paper focuses on a novel approach for image denoising: WISDOW (Wavelet based Image and Signal De-noising via Overlapping Waves). It is based on approximating any singularity by means of a basic one in a wavelet domain. This approach allows us to reach some interesting mathematical properties along with good performances in terms of both subjective and objective quality. In fact, achieved results are comparable to the best wavelet approaches requiring a low computational effort and resulting completely automatic.I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.
