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A blind watermarking Algorithm Resisting to Geometric Transforms Based on SVD

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Wuhan University Journal of Natural Sciences 2011年第6期16卷 487-492页

作者： LI Xiuguang YANG Xiaoyuan Department of Electronic Technology Engineering Universityof Chinese People＇s Armed Police Force Xi＇an 710086 ShaanxiChina

A new watermarking algorithm resisting to geometric transformation based on singular value decomposition （SVD） in logarithm polar coordinate is proposed. The log-polar mapping （LPM） is used to resist rotation and scaling attacks, and the odd-even quantization algorithm is used to embed watermark so it can be extracted without the original host image. The experiments show that the proposed algorithm not only resists various geomet- ric attacks but also is robust enough to the common signal processing.

关键词： blind watermarking singular value decomposition(SVD) logarithm polar coordinate resist to geometric transform

The Research of blind watermarking Based on Zigzag and Affine Transformation

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The Research of Blind Watermarking Based on Zigzag and Affin...

Wavelet Transform for Color Image with blind watermarking

第37届中国控制会议

作者： Hui Wang Yukun Hu Lijun Yu Weijie Sun Harbin Engineering University

Image scrambling in the watermarking image encryption has been widely *** when the image watermarking is under attack or interception,the attacker can easily crack through the image texture or using conventional *** this paper,we propose a new method to preprocess the image watermarking by combining a kind of zigzag transformation scanning from the upper right corner and affine *** scrambling method can achieve better effect of scrambling and encryption and it is difficult to be cracked when *** the DWT will be used to embed the scrambling *** this method was verified by a series of simulation *** result proves that using DWT transformation to embed watermark,you don’t need the original image to get a good watermark recovery.

关键词： zigzag affine transformation DWT(Discrete Wavelet Transform) blind watermarking

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Wavelet Transform for Color Image with Blind Watermarking

Robust blind image watermarking based on interest points

2011 IEEE International Conference on Information Theory and Information Security(ICITIS 2011)

作者： Zunze Hou The Chinese people’s armed police forces academy,Langfang, China

The paper presented a new watermarking scheme for color images based on discrete wavelet transform (DWT). It transformed the color space from RGB to YUV, scrambled the U component to the frequency spectrum by 3-level DWT, took pseudo random sequence as the watermark, and insert it into the second and third high frequency bands. Linear correlation detector was used to detect the watermark, so the watermark can be detected without original. It employed Image scrambling technology to make the linear correlation detector in this watermarking system be optimal. The experimental result shows that this scheme has good transparency and robustness.

关键词： blind watermarking wavelet transform digital images decomposition

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虚拟现实与智能硬件（中英文） 2024年第4期6卷 308-322页

作者： Zizhuo WANG Kun HU Chaoyangfan HUANG Zixuan HU Shuo YANG Xingjun WANG Tsinghua Shenzhen International Graduate School Tsinghua UniversityShenzhen 518071China

Digital watermarking technology plays an essential role in the work of anti-counterfeiting and ***,image watermarking algorithms are weak against hybrid attacks,especially geometric attacks,such as cropping attacks,rotation attacks,*** propose a robust blind image watermarking algorithm that combines stable interest points and deep learning networks to improve the robustness of the watermarking algorithm ***,to extract more sparse and stable interest points,we use the Superpoint algorithm for generation and design two steps to perform the screening *** first keep the points with the highest possibility in a given region to ensure the sparsity of the points and then filter the robust interest points by hybrid attacks to ensure high *** message is embedded in sub-blocks centered on stable interest points using a deep learning-based *** kinds of attacks and simulated noise are added to the adversarial training to guarantee the robustness of embedded *** use the ConvNext network for watermark extraction and determine the division threshold based on the decoded values of the unembedded *** extensive experimental results,we demonstrate that our proposed algorithm can improve the accuracy of the network in extracting information while ensuring high invisibility between the embedded image and the original cover *** with previous SOTA work reveals that our algorithm can achieve better visual and numerical results on hybrid and geometric attacks.

关键词： blind watermarking Robust region selection Geometric distortion Deep learning

A New Robust watermarking Algorithm for Vector Data

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Wuhan University Journal of Natural Sciences 2010年第5期15卷 403-407页

作者： ZHANG Lei YAN Dashun JIANG Shujuan SHI Tingting College of Computer Science and Engineering Zhongkai University of Agriculture and Engineer Guangzhou 510225 Guangdong China School of Computer Science and Technology China University of Mining and Technology Xuzhou 221008 Jiangsu China

Because the existing vector data watermarking algorithm is insufficiently robust for compression and cropping,and has no sufficient control on map deformation,a new watermarking algorithm was proposed in this *** main features are：① it selected feature points and non-feature points from the sequence of Douglas,and then embedded watermarking points by wavelet transform,which is based on layer segmentation;② it enhanced the map deformation control ***,it increased the map graphic deformation control *** algorithm was applied to experimental data,and the test results showed that the algorithm had good robustness on graphics geometric transformation,the addition,deletion and cropping of points in graph ***,the graph distortion had been well controlled.

关键词： vector graphics Douglas Puck transform wavelet transform blind watermarking robust

Hybrid Successive CFA Image Encryption-watermarking Algorithm Based on the Quaternionic Wavelet Transform (QWT)

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Journal of Information Security 2022年第4期13卷 244-256页

作者： Hervé Abena Ndongo Marcelin Vournone Mireille Pouyap Taya Ngakawa Paul Abena Malobe Energy Signal Imaging and Automatic Laboratory (LESIA) Department of Electrical and Industrial Automatic Engineering National School of Agro-Industrial Sciences (ENSAI) University of Ngaoundere Ngaoundere Cameroon Mapping Production Division Department of Data Collection National Institute of Cartography Yaounde Cameroon Department of Physics Higher Teacher Training College University of Maroua Maroua Cameroon Department of Physics Faculty of Science (FS) University of Ngaoundere Ngaoundere Cameroon

In this paper, we present a new robust hybrid algorithm combining successively chaotic encryption and blind watermarking of images based on the quaternionic wavelet transform (QWT) to ensure the secure transfer of digital data. The calculations of the different evaluation parameters have been performed in order to determine the robustness of our algorithm to certain attacks. The application of this hybrid algorithm on CFA (Color Filter Array) images, allowed us to guarantee the integrity of the digital data and to propose an autonomous transmission system. The results obtained after simulation of this successive hybrid algorithm of chaotic encryption and then blind watermarking are appreciated through the values of the evaluation parameters which are the peak signal-to-noise ratio (PSNR) and the correlation coefficient (CC), and by the visual observation of the extracted watermarks before and after attacks. The values of these parameters show that this successive hybrid algorithm is robust against some conventional attacks.

关键词： Encryption blind watermarking Chaos CFA Images QWT