基于四元数矩阵与遗传优化逻辑曲线的鲁棒图像水印算法研究

传统彩色图像水印算法鲁棒性与视觉效果难以达到同步最优,对此,提出了一种基于四元径向矩并利用遗传算法优化逻辑曲线的彩色图像水印算法。将目标图像分为若干块,对所有块进行复杂度分析；然后,通过遗传算法对逻辑曲线的优化实现水印性能参数的优化,并根据目标图像的复杂度自适应地调节水印嵌入的强度。对比试验结果表明本算法所获得的水印图像具有良好的视觉效果,同时对信号处理攻击与几何攻击均具有较好的鲁棒性。

The quaternion moment and genetic optimization logistic curve based robust watermark schema research

Traditional color image watermark has the problem that the robust feature and visual quality could not be the optimal at the same time, aimed at that, a color image watermark algorithm based on quaternion radial moments and realizes the optimal for logistic curve by genetic algorithm. The target image is divided into blocks, each block is analyzed for the complexity; then, the quality parameters are optimized by the logistic curve, and the embedding strength is adaptively adjusted with the complexity of the target image. Experiment results show that the watermark images produced by the proposed algorithm have good visual quality, and have a good robust feature for signal process and position and the geometric transformation attacks.