一种用于篡改定位及近似恢复的水印算法

发布时间：2018-04-18 07:45

  本文选题：半脆弱水印 + Contourlet变换　； 参考：《测绘科学技术学报》2017年03期

【摘要】：针对遥感影像易被非法篡改的问题,提出了一种用于篡改定位及近似恢复的遥感影像半脆弱水印方案。首先将二值伪随机矩阵作为认证水印,通过量化Contourlet变换各方向子带中绝对值最大的系数将其嵌入,然后采用影像4×4分块后的灰度平均值作为恢复水印,将其嵌入到最低有效位。水印检测不需要原始遥感影像参与,实现了盲提取。实验结果表明,算法对于噪声、JPEG压缩等合理性失真具有一定的鲁棒性,而对于恶意篡改等攻击具有脆弱性,能够实现篡改区域的精确定位和近似恢复,使恢复后的遥感影像满足基本的视觉要求,可有效保护遥感影像的安全。
[Abstract]:Aiming at the problem that remote sensing images are easily tampered with illegally, a semi-fragile watermarking scheme for tampering location and approximate restoration is proposed.Firstly, the binary pseudorandom matrix is used as the authentication watermark, which is embedded by quantizing the absolute maximum absolute coefficients in the subband of the Contourlet transform, and then the average gray level of the image is used as the restoration watermark after 4 脳 4 blocks, and the watermark is embedded into the lowest significant bit.The watermark detection does not need the original remote sensing image to participate, realizes the blind extraction.The experimental results show that the algorithm is robust to reasonable distortion such as noise JPEG compression, but vulnerable to malicious tampering attacks, and can achieve accurate location and approximate restoration of tamper regions.The restored remote sensing images can meet the basic visual requirements and can effectively protect the security of remote sensing images.
【作者单位】： 信息工程大学;
【基金】：地理信息工程国家重点实验室开放基金项目(SKLGIE2014-M-4-6)
【分类号】：TP309.7;TP751
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本文编号：1767460