Frequency centroid zero watermarking algorithm based on Tetrolet transform of color image

被引:0
|
作者
Zhang T. [1 ,2 ]
Ye S. [1 ,2 ]
Liu J. [1 ,2 ]
Bai H. [1 ,2 ]
机构
[1] School of Communication and Information Engineering, Chongqing University of Posts and Telecommunications, Chongqing
[2] Chongqing Key Laboratory of Signal and Information Processing, Chongqing University of Posts and Telecommunications, Chongqing
关键词
color image; frequency centroid; robustness; Tetrolet transform; zero watermark;
D O I
10.12305/j.issn.1001-506X.2023.01.06
中图分类号
学科分类号
摘要
In order to solve the problem that the transparency of traditional digital watermarking algorithms decreases with the increase of embedding strength, many zero watermarking algorithms have been proposed. However, most algorithms are not robust and stable, or are designed based on grayscale images. In this paper, a frequency centroid zero watermarking algorithm based on color image Tetrolet transform is proposed. The algorithm first extracts the luminance component of the color carrier image in the YCbCr space, then carries out the Tetrolet transform to obtain its low-frequency coefficients. Then through the block non-negative matrix decomposition, it uses the method of calculating the frequency centroid to construct the feature matrix. The watermark information is encoded by Polar code in turn, and the interleaving matrix is constructed by two-dimensional interleaving. Finally, the zero watermark is generated by exclusive OR (XOR) operation between the interleaved square matrix and the feature matrix containing watermark information. Simulation results show that the zero watermarking algorithm can effectively resist non-geometric attacks, geometric attacks and combination attacks, and the watermark extraction normalized coeffecient (NC) value is more than 0.9, with strong robustness, stability, and good practicability. © 2023 Chinese Institute of Electronics. All rights reserved.
引用
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页码:41 / 48
页数:7
相关论文
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