基于Logistic的DWT-SVD彩色图像水印算法
1. 大连交通大学, 计算机与通信工程学院电子与通信工程系, 辽宁大连 116028
2. 大连交通大学, 自动化与电气工程学院铁道信号与控制工程系, 辽宁大连 116028
| 摘 要： | 随着多媒体业务的飞速发展，图像版权保护的问题近年来受到广泛关注。图像水印是解决这一问题的关键技术。本文给出了一种基于Logistic混沌映射结合DWT-SVD的彩色图像水印算法，本文方法包括水印嵌入和水印提取两部分组成。水印嵌入是指水印图像经过Logistic加密和SVD分解后嵌入到载体图像的R、G、B三个分量的小波低频系数奇异值中，再通过SVD重组和小波重构得到嵌有水印的图像，在嵌入过程中生成三个密钥。水印提取先对嵌有水印的图像进行小波分解，对分解得到的低频系数进行SVD分解，根据对应的两个密钥进行水印奇异值重组，再根据第三个密钥经过Logistic加密得到水印的图像，达到版权保护的目的。该算法优点是将DWT与SVD结合能较好的克服噪声、压缩，旋转和缩放等攻击，Logistic混沌置乱产生新的密钥，增加了水印的安全性，使本文方法有了更好的隐蔽性。仿真结果表明本文水印算法有较好的不可感知性和隐蔽性，而且在图像水印在受到噪声、JEPG压缩、旋转和缩放攻击时有较好的鲁棒性。 |
| 关 键 词： | 版权保护; 图像水印; 离散余弦变换; 奇异值分解; Logistic 加密 |
| DOI： | 10.57237/j.cst.2024.01.002 |
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收稿日期: 2023-11-29
接受日期: 2023-12-28
在线出版日期: 2024-01-20
A Color Image Watermark Algorithm Based on Logistic and DWT-SVD
1. Department of Electronic and Communication Engineering, School of Computer and Communication Engineering, Dalian Jiaotong University, Dalian 116028, China
2. Department of Railway Signal and Control Engineering, School of Automation and Electrical Engineering,, Dalian Jiaotong University, Dalian 116028, China
| Abstract: | With the rapid development of multimedia services, the issue of image copyright protection has received widespread attention in recent years. Image watermarking is a key technology to solve this problem. This article presents a color image watermarking algorithm based on Logistic chaotic mapping combined with DWT-SVD. The method in this paper consists of two parts: watermark embedding and watermark extraction. Watermark embedding refers to the embedding of a watermark image into the wavelet low-frequency coefficient singular values of the R, G, and B components of the carrier image after logistic encryption and SVD decomposition. Then, the image embedded with the watermark is obtained through SVD recombination and wavelet reconstruction, and three keys are generated during the embedding process. Watermark extraction first performs wavelet decomposition on the image embedded with the watermark, SVD decomposition is performed on the low-frequency coefficients obtained from the decomposition, watermark singular value recombination is performed based on the corresponding two keys, and then the watermark image is obtained through Logistic encryption based on the third key, achieving the purpose of copyright protection. The advantage of this algorithm is that combining DWT with SVD can effectively overcome attacks such as noise, compression, rotation, and scaling. Logistic chaotic scrambling generates new keys, increasing the security of watermarks and making the method proposed in this paper more covert. The simulation results show that the watermark algorithm proposed in this paper has good imperceptibility and concealment, and has good robustness against noise, JEPG compression, rotation, and scaling attacks on image watermarks. |
| Keywords: | Copyright Protection; Image Watermark; Discrete Cosine Transform; Singular Value Decomposition; Logistic Encryption |
基金
| 1. | 大连市重点科技研发计划项目 (2022YF11GX008) |
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