从理论推导和实验计算分析，用协同序参量作为数字水印的鲁棒性评判指标，具有一定可行性和实用性。
With theoretic testify and experimental analysis, the method of using synergetic order parameter as quantitative index of digital watermark robustness has feasibility and practicability.
为保证图像数字水印的鲁棒性和安全性，结合加密技术，提出了一种使用协同神经网络的图像数字水印算法。
An digital image watermark algorithm is proposed based on the synergetic neural network, combined with encryption technique, to guarantee its robustness and security.
该技术在水印嵌入时，由混沌系统生成水印序列，并在离散小波变换的低频子带上嵌入水印，保证了水印的鲁棒性。
While embedding watermarking, the watermarking sequences are produced by the chaos system, and are embedded into the low frequent coefficient of DWT domain to guarantee the robustness of watermarking.
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