We describe a digital watermarking algorithm for color images protection and authenticity: robust, not-blind, wavelet-based. Our algorithm can process any image, in fact it includes resize techniques that adapt the size of original image for Wavelet transform. The watermark signal is calculated in correlation with the image features and statistic properties. In detection step we apply a re-synchronization between the original and watermarked image according to the Neyman-Pearson statistic

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... ion. Experimentation on a large set of different images has shown to be resistant against geometric, filtering, and StirMark attacks with a low rate of false alarm.