摘要
由于数字作品极易被非法复制和篡改的特性,使得数字作品的信息安全和版权保护成为迫切需要解决的问题。数字水印技术为实现有效的知识产权保护提供了一条新的思路和手段,已成为多媒体信息安全领域的一个热点,具有广阔的应用前景。
论文主要研究基于内容的数字图像鲁棒性水印技术,通过对现有算法的研究和分析发现,如何充分利用图像本身的固有特征是鲁棒性水印发展的新方向,为了提高水印算法的鲁棒性,本文提出了一种基于形态学的图像强纹理水印算法。算法根据图像强纹理的形态学特征,提取强纹理区域并分析验证了正确性和准确性;运用时频映射理论,将强纹理区域映射到小波树结构上,在相应的小波系数上嵌入水印;为了平衡透明性与鲁棒性,算法根据人的视觉掩蔽特性自适应调整水印嵌入强度。实验表明,算法对常见攻击具有良好的鲁棒性。算法提出的形态学强纹理区域提取方法,具有天然的并行实现结构,与经典的空域方法相比,简单快捷、效率高,自适应于各种图像。
为了利用更多的图像特征提高算法鲁棒性,本文提出了一种基于经验模态分解(Empirical Mode Decomposition,EMD)的图像双水印算法。算法根据EMD分解对图像细节特征良好的筛分能力,准确提取了图像的强纹理区域,选择在与强纹理区域对应的Contourlet域能量最大的方向子带中频系数上嵌入水印;运用抗噪型多尺度形态学边缘检测算子提取图像的边缘特征构造零水印。本文的双水印算法充分利用了图像的纹理与边缘特征,使水印与图像内容紧密结合,提高了算法的鲁棒性与安全性。实验表明,算法对噪声、滤波、压缩等攻击均具有较强的鲁棒性;并且因为零水印固有的不改变宿主图像的优良特性,使得本算法在透明性上也获得了良好的表现。
最后,对论文的研究内容作了简要的总结,并对未来的研究方向进行了展望。
With the rapid development of computer, network and communication, especially the popularization of the Internet, information security and copyright protection have been a key and attractive problem. Digital watermarking scheme has been a rising network information security technology. It provides a novel way for the protection of intellectual property rights. It becomes a hot spot in the research of multimedia data security, and holds wide application prospect in several domains.
In this paper, the technology of robustness digital watermarking based on content for copyright protection of digital image is mainly discussed. By the research and analysis of the existing methods, the new robustness watermarking development direction is found, which is how to make full use of the inherent characteristics of the digital image. A digital image watermark algorithm with strong robustness is proposed in this paper. The algorithm extracts image strong texture regions according to the morphological features, analyzes and verifies the correctness and accuracy; The algorithm maps the image strong texture regions to the wavelet tree structures, and embeds watermark into the corresponding wavelet coefficients, by time-frequency mapping theory; the algorithm adaptively adjusts the watermark embedding intensity to balance transparency and robustness by HVS (Human Visual System). Experimental results show the algorithm is robust to common attacks. The image strong texture regions extraction method based on morphology in this algorithm has natural parallel structures,and is simple and effective compared with the classic spatial method, adaptive to various images.
In order to improve the robustness by using of the image characteristics adequately, an image double watermark algorithm based on EMD (Empirical Mode Decomposition) is presented. The algorithm can accurately extract image strong texture regions by the favorable sifting ability of EMD to the image details characteristics, the watermark is embeded into the contourlet mid-frequency coefficients, which are on the direction-subbands with the largest energy corresponding image strong texture regions; Zero-watemark is constructed by extracting image edge characteristics using anti-noise multi-scale morphological edge detector. In this paper, the double watermark algorithm makes use of the image textrue and edge characteristics, closely connects the host image with the watermark, improves the robustness and security of the algorithm. Experimental results show this double watermark algorithm is robust to noise, filtering, compression, etc; and because of the inherent excellent feature that the zero watermark does not change the host image, the algorithm has a good performance in the transparency.
Finally, the summary of this paper is given and the future direction of the research is presented.
引文
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