作　　者： ;

机构地区： 东莞职业技术学院

出　　处： 《计算机测量与控制》 2013年第8期2251-2254,共4页

摘　　要： 随着当前图像信息的广泛传播,保护图像产权,打击盗版是亟待解决的问题,水印算法是有效的解决版权保护问题的有效手段,基于此,提出了一种新的基于奇异值分解和整数小波变换的优化图像数字水印算法;该算法在载体图像分块后,首先进行基于块的整数小波变换,然后在整数小波变换之后,在低频部分进行奇异值分解,最后采用第一个奇异值来有效的提取能量,以此提高数字水印的鲁棒性;同时采用启发式的遗传算法通过优化算法和目标函数来优化和权衡图像水印的鲁棒性和不可感知性;实验结果表明,该水印系统具有很好的不可感知性和鲁棒性。 This paper proposes a novel image watermarking algorithm based on the singular value decomposition and the integer wavelet transform. In this algorithm, the image is first divided into different blocks and the integer wavelet transform is performed on each block. The low frequency part is selected to do the singular value decomposition. Finally, the first singular value of each block is adopted to increase the robustness by extracting the largest energy. Since the imperceptibility and robustness are contradictory, the heuristic genetic algorithm is exploited to optimize the algorism with the objective function. The experimental results demonstrate that the image watermarking algorithm has good performance of imperceptibility and robustness. Compared to the existing SVD or hybrid SVD algorithm, the proposed method has better watermarking performance.

关 键 词： 图像水印 整数小波变换 奇异值分解 遗传算法

领　　域： [自动化与计算机技术]