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A diffusion process for wavelet-transform-based image denoising and its application to document image binarization

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3 Author(s)
Lixin Fan ; Image Process. Group, Xerox Res. Centre Eur., Grenoble, France ; Liying Fan ; ChewLim Tan

To distinguish image features from high level noises, we propose to exploit the spatial correlations between wavelet coefficients by replacing the thresholding process with a diffusion process. The proposed smoothing method is more robust to noise when applied to highly corrupted images.

Published in:

Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on  (Volume:3 )

Date of Conference:

14-17 Sept. 2003