文章摘要
左悦.基于视觉内容分析和遗传算法优化的鲁棒图像水印算法[J].包装工程,2019,40(1):209-217.
ZUO Yue.Robust Image Watermarking Algorithm Based on Visual Content Analysis and Genetic Algorithm Optimization.Packaging Engineering,2019,40(1):209-217.
基于视觉内容分析和遗传算法优化的鲁棒图像水印算法
Robust Image Watermarking Algorithm Based on Visual Content Analysis and Genetic Algorithm Optimization
投稿时间:2018-09-15  修订日期:2019-01-10
DOI:10.19554/j.cnki.1001-3563.2019.01.031
中文关键词: 图像水印  视觉内容分析  活性因子  奇异值分解  适应度函数  遗传算法  嵌入强度
英文关键词: image watermarking  visual content analysis  active factor  singular value decomposition  fitness function  genetic algorithm  embedding strength
基金项目:广西高校科学技术研究项目基金(KY2015YB525)
作者单位
左悦 南宁学院南宁 530200 
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中文摘要:
      目的 为了兼顾水印图像的不可感知性与鲁棒性,利用DCT(Discrete Cosine Transform)变换域,设计载体视觉内容分析耦合遗传算法优化的鲁棒图像水印技术。方法 首先,将载体图像分割为一系列的非重叠子块,并引入奇异值分解机制,定义视觉内容分析方法,获取每个子块的活性因子,活性因子值较大的子块为水印嵌入位置;利用DCT机制处理活性因子值较大的子块得到相应的直流系数;联合结构相似度SSIM、峰值信噪比PSNR以及归一化相关系数NC,并基于权重因子设计适应度函数,通过执行遗传算法寻找最优的嵌入强度;根据优化的嵌入强度构建水印嵌入方法,将二值水印隐藏到这些直流系数中,通过逆DCT变换输出水印图像;设计水印检测方法,从水印图像中提取二值水印。结果 实验数据显示,与当前基于变换域的水印技术相比,所提算法具有更高的视觉不可感知性与抗几何攻击能力,面对多种几何攻击,所提算法的PSNR与NC值分别保持在45 dB,0.96以上。结论 所提算法能够较好地将水印信息隐藏在载体中,具有较高的视觉不可感知性与抗几何攻击能力,在版权保护、信息防伪等领域具有较好的参考价值。
英文摘要:
      The work aims to design a robust image watermarking technique based on carrier visual content analysis and genetic algorithm optimization by means of DCT (Discrete Cosine Transform), in order to balance the imperceptibility and robustness of the watermark image. Firstly, the carrier image was divided into a series of non-overlapping subblocks, and the singular value decomposition mechanism was introduced to define the visual content analysis method for obtaining the active factor of each subblock, so that the subblock with the larger active factor was viewed as the watermark embedding position. The DCT method was used to process the subblocks with larger active factor, in order to get the corresponding DC coefficients. Then, combined with the SSIM, PSNR and NC, the fitness function was designed based on weight factor. The optimal embedding strength was found by implementation of genetic algorithm. According to the optimized embedding strength, the watermark embedding method was constructed to hide binary watermark into these DC coefficients, and the watermark image was outputted through inverse DCT transform. Finally, the watermark detection method was designed to extract binary watermark from watermark image. Experimental data showed that, compared with the current watermarking technology based on transform domain, the proposed algorithm had higher visual imperceptibility and anti-geometric attack ability. The PSNR and NC values of the proposed algorithm were kept over 45 dB and 0.96 respectively in the face of various geometric attacks. The proposed algorithm can better hide watermark information into the carrier, and has higher visual imperceptibility and anti-geometric attack ability, which has better reference value in copyright protection, information security and other fields.
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