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