College of Information and Communication Engineering, Hainan University, Haikou, China.
State Key Laboratory of Marine Resource Utilization in the South China Sea, Hainan University, Haikou, China.
PLoS One. 2020 Jun 4;15(6):e0232902. doi: 10.1371/journal.pone.0232902. eCollection 2020.
In the continuous development of computer network technology, multimedia technology and information technology, digitization has become the main means of displaying information, thus facilitating the storage, copying and dissemination of digital multimedia information. In this context, there are no restrictions on arbitrary editing, copying, modification, and dissemination of digital images, music, etc., which leads to various social problems such as information security, copyright disputes, and piracy. With the advancement of networks and multimedia, digital watermarking technology has received worldwide attention as an effective method of copyright protection. Improving the anti-geometric attack ability of digital watermarking algorithms using image feature-based algorithms have received extensive attention. This paper proposes a novel robust watermarking algorithm based on SURF-DCT perceptual hashing (Speeded Up Robust Features and Discrete Cosine Transform), namely blind watermarking. The algorithm firstly uses the affine transformation with a feature matrix and chaotic encryption technology to preprocess the watermark image, enhance the confidentiality of the watermark, and perform block and DCT coefficients extraction on the carrier image, and then uses the positive and negative quantization rules to modify the DCT coefficients. The embedding of the watermark is completed, and the blind extraction of the watermark realized. Experiments show that the algorithm has good invisibility and strong robustness against conventional and geometric attacks and can effectively protect the security of images with NC value more than 90%.
在计算机网络技术、多媒体技术和信息技术的不断发展中，数字化已成为信息显示的主要手段，从而方便了数字多媒体信息的存储、复制和传播。在这种情况下，对数字图像、音乐等进行任意编辑、复制、修改和传播不受限制，导致信息安全、版权纠纷、盗版等各种社会问题。随着网络和多媒体的发展，数字水印技术作为一种有效的版权保护方法受到了全球的关注。利用基于图像特征的算法提高数字水印算法的抗几何攻击能力受到了广泛关注。本文提出了一种基于 SURF-DCT 感知哈希（加速鲁棒特征和离散余弦变换）的新型稳健水印算法，即盲水印。该算法首先使用特征矩阵的仿射变换和混沌加密技术对水印图像进行预处理，增强水印的保密性，并对载体图像进行分块和 DCT 系数提取，然后使用正、负量化规则修改 DCT 系数。完成水印的嵌入，并实现水印的盲提取。实验表明，该算法具有良好的不可见性和较强的抗常规和几何攻击能力，能够有效保护 NC 值大于 90%的图像的安全性。
