Electrical Engineering Department, University of Montenegro, 81000 Podgorica, Montenegro.
IEEE Trans Image Process. 2010 Mar;19(3):736-45. doi: 10.1109/TIP.2009.2033624.
A watermarking approach based on multidimensional time-frequency analysis is proposed. It represents a unified concept that can be used for different types of data such as audio, speech signals, images or video. Time-frequency analysis is employed for speech signals, while space/spatial-frequency analysis is used for images. Their combination is applied for video signals. Particularly, we focus on the 2-D case: space/spatial-frequency based image watermarking procedure that will be subsequently extended to video signal. A method that selects coefficients for watermarking by estimating the local frequency content is proposed. In order to provide watermark imperceptibility, the nonstationary filtering is used to model the watermark which corresponds to the host signal components. Furthermore, the watermark detection within the multidimensional time-frequency domain is proposed. The efficiency and robustness of the procedure in the presence of various attacks is proven experimentally.
提出了一种基于多维时频分析的水印方法。它代表了一种统一的概念,可以用于不同类型的数据,如音频、语音信号、图像或视频。时频分析用于语音信号,而空域/空间频率分析用于图像。它们的组合应用于视频信号。特别是,我们专注于 2-D 情况:基于空域/空间频率的图像水印过程,随后将扩展到视频信号。提出了一种通过估计局部频率内容选择水印系数的方法。为了提供水印不可感知性,使用非平稳滤波来对水印进行建模,水印对应于宿主信号分量。此外,还提出了在多维时频域内进行水印检测的方法。实验证明了该方法在各种攻击下的有效性和鲁棒性。