ICIP 2006, Atlanta, GA
 

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Atlanta Conv. & Vis. Bureau

 

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Paper Detail

Paper:TA-P4.3
Session:Denoising - I
Time:Tuesday, October 10, 09:40 - 12:20
Presentation: Poster
Title: WAVELET DOMAIN IMAGE DENOISING FOR NON-STATIONARY NOISE AND SIGNAL-DEPENDENT NOISE
Authors: Bart Goossens; Ghent University 
 Aleksandra Pizurica; Ghent University 
 Wilfried Philips; Ghent University 
Abstract: We develop a low-complexity overcomplete wavelet domain method for denoising digital images corrupted with nonstationary white additive Gaussian noise. The noise level for each pixel is estimated from a local window around that pixel. We use a shrinkage function that adapts itself to the noise level and to the spatially changing statistics of the image. Experiments show that this noise model has good results for different non-stationary noise sources. Finally, we extend our method for denoising images corrupted with signal-dependent noise.