检索结果-南通市图书馆

Modified Moment-based image watermarking Method Robust to Cropping Attack

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

International Journal of Automation and computing 2016年第3期13卷 259-267页

作者： Tian-Rui Zong Yong Xiang Suzan Elbadry Saeid Nahavandi School of Information Technology Deakin UniversityBurwood Campus Centre for Intelligent Systems Research Deakin UniversityWaurn Ponds Campus

Developing a watermarking method that is robust to cropping attack is a challenging task in image watermarking. The moment-based watermarking schemes show good robustness to common signal processing attacks and some geometric attacks but are sensitive to cropping attack. In this paper, we modify the moment-based approach to deal with cropping attack. Firstly, we find the probability density function （PDF） of the pixel value distribution from the original image. Secondly, we reshape and normalize the pdf of the pixel value distribution （PPVD） to form a two dimensional image. Then, the moment invariants are calculated from the PPVD image. Since PPVD is insensitive to cropping, the proposed method is robust to cropping attack. Besides, it also has high robustness against other common attacks. Theoretical analysis and experimental results demonstrate the effectiveness of the proposed method.

关键词： image watermarking cropping moment invariants probability density function (PDF) of the pixel value distribution(PPVD) robust.

Rotation,scaling and translation invariant image watermarking using feature points

在线全文

学校读者我要写书评

暂无评论

The Journal of China Universities of Posts and Telecommunications 2008年第2期15卷 82-87页

作者： LI Lei-da GUO Bao-long GUO Lei Institute of Intelligent Control and image Engineering Xidian UniversityXi'an 710071 China National Laboratory of Pattern Recognition Chinese Academy of SciencesBeijing 100080 China

In this article, a novel robust image watermarking scheme is presented to resist rotation, scaling, and translation （RST）. Initially, the original image is scale normalized, and the feature points are then extracted. Furthermore, the locally most stable feature points are used to generate several nonoverlapped circular regions. These regions are then rotation normalized to generate the invariant regions. Watermark embedding and extraction are implemented in the invariant regions in discrete cosine transform domain. In the decoder, the watermark can be extracted without the original image. Simulation results show that the proposed scheme is robust to traditional signal processing attacks, RST attacks, as well as some combined attacks.

关键词： image watermarking geometric attack featurepoint image normalization

Boosting image watermarking authenticity spreading secrecy from counting-based secret-sharing

在线全文

学校读者我要写书评

暂无评论

CAAI Transactions on Intelligence Technology 2023年第2期8卷 440-452页

作者： Adnan Gutub Computer Engineering Department Umm Al‐Qura UniversityMakkahSaudi Arabia

This study presents enhancing images authentication by securing watermarking hidden data via shares generated from counting-based secret *** trustfulness of shares utilised secret-sharing as an applicable privacy creation tool for the authentication of real-life complex *** research adjusts embedding the watermarking data over the images by innovative redistribution of shares to be embedded spread over all the *** anticipated watermarking technique guaranteed to scatter the share bits implanting at different least significant bits of image pixels as boosting up the trust overall authentication *** paper experimentation performance analysis shows that this improved image watermarking authentication(capacity)is averagely better by 33%–67%than other related exclusive-OR oriented and octagon ***,these measurement improvements did not degrade the robustness and security of the system,inspiring our research for opening novel track of related future counting-based secret-sharing authentication progresses to come.

关键词： counting-based secret-sharing data hiding fair data spreading image watermarking information security secret sharing

New Optimal DWT Domain image watermarking Technique via Genetic Algorithm

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Journal of Beijing Institute of Technology 2007年第4期16卷 465-470页

作者：钟宁匡镜明何遵文 School of Information Science and Technology Beijing Institute of Technology

A novel optimal image watermarking scheme is proposed in which the genetic algorithm (GA) is employed to obtain the improvement of algorithm performance. Arnold transform is utilized to obtain the scrambled watermark, and then the embedding and extraction of watermark are implemented in digital wavelet transform (DWT) domain. During the watermarking process, GA is employed to search optimal parameters of embedding strength and times of Arnold transform to gain the optimization of watermarking performance. Simulation results show that the proposed method can improve the quality of watermarked image and give almost the same robustness of the watermark.

关键词： image watermarking genetic algorithm (GA) digital wavelet transform (DWT)

Robust image watermarking Using LWT and Stochastic Gradient Firefly Algorithm

在线全文

学校读者我要写书评

暂无评论

Computers, Materials & Continua 2023年第4期75卷 393-407页

作者： Sachin Sharma Meena Malik Chander Prabha Amal Al-Rasheed Mona Alduailij Sultan Almakdi Department of CSE Koneru Lakshmaiah Education FoundationGunturAndhra Pradesh522302India Deparmtent of CSE Chandigarh UniversityMohaliPunjab140413India Chitkara University Institute of Engineering and Technology Chitkara UniversityPunjab140401India College of Computer and Information Sciences Princess Nourah Bint Abdulrahman University84428Riyadh11671Saudi Arabia Department of Computer Science College of Computer Science and Information SystemsNajran UniversityNajran55461Saudi Arabia

watermarking of digital images is required in diversified applicationsranging from medical imaging to commercial images used over the ***, the copyright information is embossed over the image in the form ofa logo at the corner or diagonal text in the background. However, this formof visible watermarking is not suitable for a large class of applications. In allsuch cases, a hidden watermark is embedded inside the original image as proofof ownership. A large number of techniques and algorithms are proposedby researchers for invisible watermarking. In this paper, we focus on issuesthat are critical for security aspects in the most common domains like digitalphotography copyrighting, online image stores, etc. The requirements of thisclass of application include robustness (resistance to attack), blindness (directextraction without original image), high embedding capacity, high Peak Signalto Noise Ratio (PSNR), and high Structural Similarity Matrix (SSIM). Mostof these requirements are conflicting, which means that an attempt to maximizeone requirement harms the other. In this paper, a blind type of imagewatermarking scheme is proposed using Lifting Wavelet Transform (LWT)as the baseline. Using this technique, custom binary watermarks in the formof a binary string can be embedded. Hu’s Invariant moments’ coefficientsare used as a key to extract the watermark. A Stochastic variant of theFirefly algorithm (FA) is used for the optimization of the technique. Undera prespecified size of embedding data, high PSNR and SSIM are obtainedusing the Stochastic Gradient variant of the Firefly technique. The simulationis done using Matrix Laboratory (MATLAB) tool and it is shown that theproposed technique outperforms the benchmark techniques of watermarkingconsidering PSNR and SSIM as quality metrics.

关键词： image watermarking lifting wavelet transform discrete wavelet transform(DWT) firefly technique invariant moments

Geometrically invariant color image watermarking scheme using feature points

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Science in China(Series F) 2009年第9期52卷 1605-1616页

作者： WANG XiangYang MENG Lan YANG HongYing School of Computer and Information Technology Liaoning Normal University Dalian 116029 China State Key Laboratory of Networking and Switching Technology Beijing University of Posts and Telecommunications Beijing 100876 China

Geometric distortion is known as one of the most difficult attacks to resist. Geometric distortion desynchronizes the location of the watermark and hence causes incorrect watermark detection. In this paper, we propose a geometrically invariant digital watermarking method for color images. In order to synchronize the location for watermark insertion and detection, we use a multi-scale Harris-Laplace detector, by which feature points of a color image can be extracted that are invariant to geometric distortions. Then, the self-adaptive local image region （LIR） detection based on the feature scale theory was considered for watermarking. At each local image region, the watermark is embedded after image normalization. By binding digital watermark with invariant image regions, resilience against geometric distortion can be readily obtained. Our method belongs to the category of blind watermarking techniques, because we do not need the original image during detection. Experimental results show that the proposed color image watermarking is not only invisible and robust against common signal processing such as sharpening, noise adding, and JPEG compression, but also robust against the geometric distortions such as rotation, translation, scaling, row or column removal, shearing, and local random bend.

关键词： image watermarking geometric distortion color image feature point image normalization

A Feature-based Robust Digital image watermarking Against Desynchronization Attacks

在线全文

学校读者我要写书评

暂无评论

International Journal of Automation and computing 2007年第4期4卷 428-432页

作者： Xiang-Yang Wang Jun Wu School of Computer and Information Technique Liaoning Normal University Dalian 116029 PRC State Key Laboratory of Vision and Auditory Information Processing Peking University Beijing 100871 PRC

In this paper, a new content-based image watermarking scheme is proposed. The Harris-Laplace detector is adopted to extract feature points, which can survive a variety of attacks. The local characteristic regions （LCRs） are adaptively constructed based on scale-space theory. Then, the LCRs are mapped to geometrically invariant space by using image normalization technique. Finally, several copies of the digital watermark are embedded into the nonoverlapped LCRs by quantizing the magnitude vectors of discrete Fourier transform （DFT） coefficients. By binding a watermark with LCR, resilience against desynchronization attacks can be readily obtained. Simulation results show that the proposed scheme is invisible and robust against various attacks which includes common signals processing and desynchronization attacks.

关键词： image watermarking desynchronization attacks feature points discrete Fourier transform.

Secure Digital image watermarking Technique Based on ResNet-50 Architecture

在线全文

学校读者我要写书评

暂无评论

Intelligent Automation & Soft Computing 2024年第6期39卷 1073-1100页

作者： Satya Narayan Das Mrutyunjaya Panda Department of Computer Science and Engineering GIET UniversityGunupurOdisha765022India Department of Computer Science and Applications Utkal UniversityBhubaneswarOdisha751004India

In today’s world of massive data and interconnected networks,it’s crucial to burgeon a secure and efficient digital watermarking method to protect the copyrights of digital *** research primarily focuses on deep learning-based approaches to improve the quality of watermarked images,but they have some *** overcome this,the deep learning digital image watermarking model with highly secure algorithms is proposed to secure the digital ***,quantum logistic maps,which combine the concept of quantum computing with traditional techniques,have been considered a niche and promising area of research that has attracted researchers’attention to further research in digital *** research uses the chaotic behaviour of the quantum logistic map with Rivest–Shamir–Adleman(RSA)and Secure Hash(SHA-3)algorithms for a robust watermark embedding process,where a watermark is embedded into the host *** way,the quantum chaos method not only helps limit the chance of tampering with the image content through reverse engineering but also assists in maintaining a high level of imperceptibility and strong robustness with efficient extraction or detection of watermark *** Wavelet Transformation(LWT)is a potential and computationally efficient version of traditional Discrete Wavelet Transform(DWT)where the host image is divided into four sub-bands to offer a multi-resolution view of an image with greater flexibility in watermarking ***,considering the robustness against attacks,a pre-trained Residual Neural Network(ResNet-50),a convolutional neural network with 50 layers deep,is used to better learn the complex features and efficiently extract the watermark from the *** integrating RSA and SHA-3 algorithms,the proposed model demonstrates improved imperceptibility,robustness,and accuracy in watermark extraction compared to traditional *** achieves a Peak Signal-to-Noise Ratio(PSNR)of 49.83%,a Structural Simi

关键词： image watermarking quantum logistics Rivest-Shamir-Adleman(RSA) Secure Hash(SHA-3) Lifting Wavelet Transformation(LWT) ResNet-50 deep learning secure communication

A Novel Color image watermarking Method with Adaptive Scaling Factor Using Similarity-Based Edge Region

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

Computer Systems Science & Engineering 2023年第10期47卷 55-77页

作者： Kali Gurkahraman Rukiye Karakis Hidayet Takci Faculty of Engineering Department of Computer EngineeringSivas Cumhuriyet UniversitySivas58140Turkey Faculty of Technology Department of Software EngineeringSivas Cumhuriyet UniversitySivas58140Turkey

This study aimed to deal with three challenges:robustness,imperceptibility,and capacity in the image watermarking *** reach a high capacity,a novel similarity-based edge detection algorithm was developed that finds more edge points than traditional *** colored watermark image was created by inserting a randomly generated message on the edge points detected by this *** ensure robustness and imperceptibility,watermark and cover images were combined in the high-frequency subbands using Discrete Wavelet Transform and Singular Value *** the watermarking stage,the watermark image was weighted by the adaptive scaling factor calculated by the standard deviation of the similarity *** to the results,the proposed edge-based color image watermarking technique has achieved high payload capacity,imperceptibility,and robustness to all *** addition,the highest performance values were obtained against rotation attack,to which sufficient robustness has not been reached in the related studies.

关键词： image watermarking edge detection discrete wavelet transform singular value decomposition adaptive scaling factor