Signal-dependent noise removal in the undecimated wavelet domain

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn 4, Issue , 2002, Pages

  Argenti, Fabrizio ^a   Torricelli, Gionatan ^a   Alparone, Luciano ^a  

^a UNIVERSITY OF FLORENCE   (Italy)

Author keywords

[No Author keywords available]

Indexed keywords

ANTI-ALIASING; ESTIMATION; MATHEMATICAL MODELS; PROBABILITY DENSITY FUNCTION; RANDOM PROCESSES; SIGNAL DISTORTION; SIGNAL FILTERING AND PREDICTION; STATISTICAL METHODS; WAVELET TRANSFORMS;

IMAGE DENOISING; MINIMUM MEAN SQUARE ERROR; SHIFT-INVARIANT WAVELET DOMAIN; UNDECIMATED WAVELET DOMAIN; WIENER-LIKE FILTERING;

IMAGE COMPRESSION;

EID: 17644434790     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/icassp.2002.5745357     Document Type: Conference Paper

References (13)

1. Speckle in ultrasound B-mode scans
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3. Low-complexity image denoising based on statistical modeling of wavelet coefficients
4. Noise reduction using undecimated discrete wavelet transform
5. Translation-invariant denoising
6. Adaptive noise smoothing filter for images with signal-dependent noise
7. Orthonormal bases of compactly supported wavelets
8. A theory for multiresolution signal decomposition: The wavelet representation