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A Recursive High Payload Reversible Data Hiding Using Integer Wavelet and arnold transform

Intelligent Automation & Soft Computing 2023年第1期35卷 537-552页

作者： Amishi Mahesh Kapadia P.Nithyanandam School of Computer Science and Engineering Vellore Institute of TechnologyChennai600012TamilnaduIndia

Reversible data hiding is an information hiding technique that requires the retrieval of the error free cover image after the extraction of the secret *** suggested a technique in this research that uses a recursive embedding method to increase capacity substantially using the Integer wavelet transform and the arnold *** notion of Integer wavelet transforms is to ensure that all coefficients of the cover images are used during embedding with an increase in *** scrambling the cover image,arnold transform adds security to the information that gets embedded and also allows embedding more information in each *** hybrid combination of Integer wavelet transform and arnold transform results to build a more efficient and secure *** proposed method employs a set of keys to ensure that information cannot be decoded by an *** experimental results show that it aids in the development of a more secure storage system and withstand few tampering attacks The suggested technique is tested on many image formats,including medical *** performance metrics proves that the retrieved cover image and hidden image are both *** System is proven to withstand rotation attack as well.

关键词： Reversible data hiding(RDH) integer wavelet transforms(IWT) arnold transform payload embedding and extraction

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Digital Image Scrambling Technology Based on the Symmetry of arnold transform

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Journal of Beijing Institute of Technology 2006年第2期15卷 216-220页

作者：杨雅丽蔡娜倪国强 School of Information Science and Technology Beijing Institute of Technology

An improved digital image scrambling method based on arnold transform is proposed. The method can be used for the rectangle image by splitting rectangle image into several square images. Furthermore, a pretreatment is added to speeding up the process and enhancing the scrambling effect. The recovering of the scrambled image depends on the reverse arnold transform that has the same cycle times with the arnold transform. The recovering is Iossless and need not calculating the period of the arnold transform. Finally, experimental results show the robustness of the method.

关键词： arnold transform robustness security

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Chaotic CS Encryption:An Efficient Image Encryption Algorithm Based on Chebyshev Chaotic System and Compressive Sensing

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Computers, Materials & Continua 2024年第5期79卷 2625-2646页

作者： Mingliang Sun Jie Yuan Xiaoyong Li Dongxiao Liu Key Laboratory of Trustworthy Distributed Computing and Service(BUPT) Ministry of EducationBeijing University of Posts and TelecommunicationsBeijing100876China

Images are the most important carrier of human information. Moreover, how to safely transmit digital imagesthrough public channels has become an urgent problem. In this paper, we propose a novel image encryptionalgorithm, called chaotic compressive sensing (CS) encryption (CCSE), which can not only improve the efficiencyof image transmission but also introduce the high security of the chaotic system. Specifically, the proposed CCSEcan fully leverage the advantages of the Chebyshev chaotic system and CS, enabling it to withstand various attacks,such as differential attacks, and exhibit robustness. First, we use a sparse trans-form to sparse the plaintext imageand then use thearnold transformto perturb the image pixels. After that,we elaborate aChebyshev Toeplitz chaoticsensing matrix for CCSE. By using this Toeplitz matrix, the perturbed image is compressed and sampled to reducethe transmission bandwidth and the amount of data. Finally, a bilateral diffusion operator and a chaotic encryptionoperator are used to perturb and expand the image pixels to change the pixel position and value of the compressedimage, and ultimately obtain an encrypted image. Experimental results show that our method can be resistant tovarious attacks, such as the statistical attack and noise attack, and can outperform its current competitors.

关键词： Image encryption chaotic system compressive sensing arnold transform

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Multiple Image Watermarking with Discrete Cosine transform

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Journal of Computer and Communications 2021年第3期9卷 88-94页

作者： Mahbuba Begum Mohammad Shorif Uddin Department of Computer Science and Engineering Mawlana Bhashani Science and Technology University Tangail Bangladesh Department of Computer Science and Engineering Jahangirnagar University Dhaka Bangladesh

Multiple image watermarking is an advanced concept of singular watermarking techniques. The existing singular digital image watermarking techniques cannot obtain all the design goals, such as imperceptibility, robustness, security, and capacity simultaneously with perfection. Hence, the multiple image watermarking technique is designed that embeds several watermarks into the same host image for conveying multiple information. This paper proposed a multiple image watermarking technique with Discrete Cosine transform (DCT) for ensuring the low computational time for embedding, encryption, decryption as well as extraction of the watermark images. Here, DCT is used to ensure the visual quality of the host image, and a random binary matrix is used to improve the security of the digital image. We have given a basic framework for multiple image watermarking. Our experimental results show satisfactory performance.

关键词： Multiple Watermarking Discrete Cosine transform Discrete Wavelet transform arnold transform

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一种基于arnold变换的关系数据水印新算法

一种基于Arnold变换的关系数据水印新算法

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第二十四届中国数据库学术会议

作者：周明王朝坤王建民李德毅清华大学软件学院

1引言数字水印技术作为实现版权保护的有效方法,已经在图像、视频、音频等领域得到了广泛应用,并取得了丰硕的成果。同时,针对关系数据的数字水印技术也逐渐兴起,涌现出一批专门针对关系型

关键词： Digital watermark Numeric relational data arnold transform Image scrambling Robustness

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