An Adaptive Digital Watermarking Embedding Approach

As an effective method of ownership assertion for digital media, digital watermarking has been targeted especially in recent years. In this paper, an adaptive digital watermarking embedding approach is presented. By applying fuzzy c-means clustering algorithm based on human visual system, the clustering result may carry out the adaptive selection of the strength value of watermark. Compared with other means, the embedded watermark is more imperceptible and robust. In the same time, there is more anti-attack ability for embedded watermark in frequency domain than that in spatial domain. In the end, we also present results to show that our approach is applicable in practice.