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.
2004
International Conference on Image Analysis and Recognition
wavelets; image brestoration; multiscale analysis
04 Pubblicazione in atti di convegno::04b Atto di convegno in volume
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).
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/499112
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