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Technical Program
Paper Detail
| Paper: | TA-P4.3 |
| Session: | Denoising - I |
| Time: | Tuesday, October 10, 09:40 - 12:20 |
| Presentation: |
Poster
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| 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. |
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