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Received:February 12, 2011 Revised:March 09, 2011
Received:February 12, 2011 Revised:March 09, 2011
中文摘要: 提出一种新的遗传算法和神经网络彩色图像水印研究,在检测水印的过程中,利用遗传算法来优化BP神经网络的权值矩阵与初值,构建出内在的隐含关系,然后利用训练好的BP 神经网络来融合提取水印。实验证明该算法保持不可觉察性,并且水印的鲁棒性比BP 神经网络的更强。
Abstract:In this paper, a novel robust watermarking research for color image based on the Genetic Algorithm(GA) and BP neural network is proposed which combine the advantages of BP neural networks and GA algorithms. During the detecting process, the GA aims to optimize the parameters of the BP neural networks and the optimum values are regarded as the initial values and weight matrix of the BP neural network parameters. Furthermore, we utilize the gradient descent learning algorithm to adjust the parameters to data fusion the watermark confidence. The experiments show that the watermarking algorithm is imperceptive and more robust than the BP neural networks method.
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基金项目:国家自然科学基金(60673014);福建省自然科学基金(2008J0013);福建省教育厅B 类基金(JB08048)
引用文本：
陈丽萍,姚志强,陈荔聪.一种基于遗传优化的神经网络水印.计算机系统应用,2011,20(10):215-218,205
CHEN Li-Ping,YAO Zhi-Qiang,CHEN Li-Cong.A Novel Watermarking Based on Genetic Algorithm and BP Neural Network.COMPUTER SYSTEMS APPLICATIONS,2011,20(10):215-218,205
陈丽萍,姚志强,陈荔聪.一种基于遗传优化的神经网络水印.计算机系统应用,2011,20(10):215-218,205
CHEN Li-Ping,YAO Zhi-Qiang,CHEN Li-Cong.A Novel Watermarking Based on Genetic Algorithm and BP Neural Network.COMPUTER SYSTEMS APPLICATIONS,2011,20(10):215-218,205
