一种新的基于DTCWT和随机像素交换的加密图像水印

C. A. Kumar, B. Rajendra Naik
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引用次数: 5

摘要

提出了一种基于随机像素交换和奇异值分解(SVD)和双树复小波变换(DTCWT)联合的加密图像水印算法。较好的方向性和移位不变性促使了DTCWT的选择。奇异值分解的不变性保证了鲁棒性和稳定性。采用随机像素交换和逻辑密钥对水印图像进行预处理,得到加密后的图像。首先对原始图像进行DTCWT分解,并根据强度不变性值选择子带。对所选子带和加密水印分别应用奇异值分解生成奇异值。接下来,将得到的奇异值与适当的比例因子相结合。为了生成水印图像,对修改后的子带进行逆DTCWT处理。在提取过程中,使用相同的比例因子生成解密后的水印图像。利用正确的逻辑密钥恢复水印图像。进一步,进行了透明度分析和鲁棒性分析。较高的PSNR和归一化相关(NC)值表明该算法具有较好的鲁棒性和透明性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
A new encrypted image watermarking based on DTCWT and random pixel exchange
An encrypted image watermarking algorithm based on random pixel exchange and the alliance of SVD (singular value decomposition) and DTCWT (dual-tree complex wavelet transform) is proposed. Better directionality and shift invariance properties are motivated towards the selection of DTCWT. The invariance of SVD guarantees robustness and stability. The watermark image is preprocessed using random pixel exchange with a logistic key to get the encrypted version. Initially, the original image decomposed with DTCWT and selected the sub band based on the intensity invariance value. Applied the SVD on both selected sub band and encrypted watermark to generate the singular values. Next, the resultant singular values are combined with an appropriate scaling factor. To generate the watermarked image, performed the inverse DTCWT on modified sub bands. In the process of extraction, used the same scaling factor to generate the decrypted watermark image. With the correct logistic key, the watermark image is recovered. Further, transparency analysis and robustness analysis are carried out. High values of PSNR and normalized correlation (NC) indicates the better robustness and transparency of the proposed algorithm.
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