摘要
提出了一种新的基于离散小波变换(DWT)与奇异值分解(SVD)相结合的数字图像水印算法。该算法将原始图像作小波分解并将小波分解得到的低频子带进行分块,对每一块进行奇异值分解后,选取每块中最大的奇异值通过量化的方法嵌入经过Arnold置乱后水印信息。水印的提取不需要原始图像,但受到密钥的限制,不知道密钥的人无法正确地恢复数字水印。实验结果表明,该算法具有较好的不可感知性、鲁棒性和安全性。
In this paper, a new watermarking algorithm based on discrete wavelet transform （DWT） of image and singular value decomposition （SVD） is presented. After decomposing the original image into four bands, the SVD is applied to the blocks of the low sub-band. To improve the security the watermark is scrambled by Arnold transform, and then is embedded into the largest singular value of every block. The watermark can be extracted without original image, among which a person who does not know the secret key cannot correctly retrieve the watermark. Experimental results indicate that the performance of the proposed watermarking algorithm is invisible, robust and secure.
