改进的人工蜂群算法在图像水印中的应用

摘要

In order to optimize the fidelity and robustness ,this paper transforms the digital image watermark into a multi-object problem. Aiming at the problem that the traditional artificial bee colony algorithm is slow convergence speed and easy to fall into local optimal solution ,an improved artificial bee colony algorithm is proposed and applied to the digital image watermark processing. The algorithm takes the food source intensity factor and the neighborhood factor into account to update the food source and improve the convergence speed. It uses the DCT to decompose the original image ,embeds the watermark into the original image and extracts the watermark blindly. Experimental results show that ,the algorithm has a good fidelity and robustness.%为了寻求水印图像视觉性和鲁棒性的优化，把数字图像水印处理转化为一个多目标求解问题。针对传统的人工蜂群算法收敛速度较慢、易陷入局部最优解的问题，提出了一种改进的人工蜂群算法并应用到图像的水印处理中。算法在雇佣蜂的搜索过程中加入了食物源强度因子和邻域因子，用来及时更新食物源和加快收敛速度；利用DCT对原始图像进行分解后，对数字图像水印进行了嵌入并实现了盲提取。实验结果表明，算法具有良好的视觉性和鲁棒性。