数字水印
傅里叶变换
离散傅里叶变换(通用)
数学
分数阶傅立叶变换
算法
水印
离散时间傅里叶变换
缩放比例
翻译(生物学)
计算机科学
傅里叶分析
数学分析
图像(数学)
人工智能
几何学
信使核糖核酸
基因
生物化学
化学
作者
Zhiqiu Xia,Chunpeng Wang,Bin Ma,Qi Li,Hao Zhang,Mingxu Wang,Xingyuan Wang
标识
DOI:10.1016/j.dsp.2023.104097
摘要
Zero-watermarking algorithms provide the means of effective, lossless copyright protection, but the existing ones can only resist a limited variety of geometric attacks. To overcome this limitation, a novel zero-watermarking algorithm resistant to an extensive variety of geometric attacks is suggested, in which fractional-order Exponent-Fourier moments (FrEFMs) and discrete Fourier transform (DFT) are used as complementary geometric invariant features to construct zero-watermarks. Relying on the rotation, scaling, aspect ratio changing and cropping invariance of FrEFMs amplitude and the perfect translation invariance of DFT amplitude, our algorithm can effectively resist a wider variety of geometric and common image processing attacks, which has been experimentally illustrated in this work. Therefore, the proposed zero-watermarking algorithm is superior to other cutting-edge ones.
科研通智能强力驱动
Strongly Powered by AbleSci AI