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| A novel adaptive watermarking algorithm based on multi-scale morphological gradient and fussy theory in wavelet domain is proposed in this paper. Using multi-scale morphological gradient, analyze the distribution and the strength of the sub-block texture after the wavelet package decomposition, and sort the sub-blocks by textures. According to the texture and energy feature of the sub-block, the sub-block thresholds are determined adaptively, and the coefficients are classified by fuzzy theory. Then, based on the classified result, the strength of the position is modulated adaptively through Noise Visibility Function (NVF), which is the best strength to ensure good visual effect of masking to achieve the best balance between robustness and imperceptibility. A large amount of experimental results show that the proposed algorithm is effective and robust to be resistant to common image processing operations. |
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| Keywords:Morphological gradient;watermarking;adaptive;texture feature;fuzzy classification |
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