水印
峰值信噪比
数字水印
人工智能
仿射变换
彩色图像
计算机科学
哈尔小波转换
计算机视觉
数学
图像融合
图像(数学)
离散小波变换
算法
图像处理
模式识别(心理学)
小波变换
小波
纯数学
作者
Decheng Liu,Qingtang Su,Zihan Yuan,Xueting Zhang
标识
DOI:10.1016/j.eswa.2020.114540
摘要
The leapfrog development of computer technology has greatly enhanced the breadth of information dissemination. As a larger information carrier, color image becomes more and more popular, but the copyright protection problem becomes more and more serious. To solve this problem, this paper proposes a fusion-domain color watermarking based on Haar transform and image correction. Firstly, the maximum energy coefficient of Haar transform is directly obtained in spatial domain. Then, the coefficient is quantified with the help of variable quantization steps to embed the color watermark that encrypted by affine transform. If the watermarked image is processed by geometric attack, then the attacked image can be corrected by using of the geometric properties. Finally, the inverse embedding process is performed to extract the watermark. The performances of the proposed method are shown as follows: 1) all PSNR (Peak Signal-to-Noise Ratio) values are greater than 40 dB; 2) all SSIM (Structural Similarity Index Metric) values are greater than 0.96; 3) most NC (Normalized Cross-correlation) values are more than 0.9; 4) the key space is more than 2432; 5) the maximum embedded capacity is 0.25bpp; 6) the running time is about 6 s. Compared with the related methods, the experimental results show that the proposed method is feasible and has good performance.
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