计算机与数字工程2024，Vol.52Issue(10)：3142-3147,6.DOI:10.3969/j.issn.1672-9722.2024.10.051
基于伪Zernike矩与SURF特征的自适应水印算法
Adaptive Watermarking Algorithm Based on Pseudo-Zernike Moments and SURF Features
摘要
Abstract
Aiming at the security problems caused by the fixed embedding area of the watermark in most current image water-marking algorithms and the weak anti-rotation attack ability of the watermark,an adaptive watermarking algorithm based on pseu-do-Zernike moments and SURF is proposed.First,the SURF(speed up robust features)algorithm is used to extract the features of the image,and then the RANSAC(random sample consensus)algorithm is used to screen out stable feature points,and a suitable watermark embedding area is constructed according to the position of the feature points.Finally,SWT transform and SVD decompo-sition are employed to embed the watermark information in the constructed region.Rotation correction is performed on the image by estimating the rotation angle using pseudo-Zernike moments.The experimental results show that the watermarking algorithm can ef-fectively resist the rotation attack,and the security of watermarking is improved.关键词
伪Zernike矩/SURF/SWT/旋转攻击/自适应水印Key words
pseudo Zernike moment/SURF/SWT/rotation attack/adaptive watermarking分类
信息技术与安全科学引用本文复制引用
王玉成,陈青..基于伪Zernike矩与SURF特征的自适应水印算法[J].计算机与数字工程,2024,52(10):3142-3147,6.
