Image watermarking techniques based on Schur decomposition and various image invariant moments: a review

Tiwari, Anurag; Srivastava, Vinay Kumar

doi:10.1007/s11042-023-16109-y

Cited by 8 publications

(3 citation statements)

References 96 publications

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“…The system is also sensitive to initial parameters, which indicates that slight modifications in these parameters can cause massive and unpredictable changes in the system's long-term behavior. Here is a system parameters and values used in our system as shown in equations (10,11,12,13,14,15,16,17,18) where A = 10, B = 28, C = 8/3, D = 25, E = 8, F = 8, G= 6.7, H = 0.01, and I = 1.5 respectively.…”

Section: System Parametersmentioning

confidence: 99%

“…To meet the rising computational power of cryptanalysis, encryption methods have been considerably improved to increase their complexity, preventing attackers from quickly compromising encrypted data [3,4]. As a result, digital picture scramblers are meant to convert clear images into unintelligible ones as an integral part of modern data protection measures such as image encryption [5,6], steganography [7][8][9][10][11], and watermarking [12][13][14]. Encryption and cryptography stand at the forefront of efforts to protect sensitive information from unauthorized access, ensuring that data remains confidential and unaltered after transmission over networks.…”

Section: Introductionmentioning

confidence: 99%

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Scrambled Encryption Approach for Color Images Based on 9-D Chaotic Systems with 3-D Substitution Bit Levels

Abdel Hameed

2024

Aswan University Journal of Sciences and Technology

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Over the past few decades, the need for robust and secure communication has grown exponentially, particularly in image transmission over networks. This is due to the increasing reliance on digital technologies. This work demonstrates a novel "Scrambled Encryption Approach" that leverages the inherent unpredictability. To this end, nine-dimensional chaotic systems are combined with the innovative technique of 3-D substitution bit levels to verify strengths such as the confidentiality and integrity of visual data while maintaining fast encryption and decryption processes. This has the drawback of being vulnerable to known plaintext attacks and performing more sophisticated calculations than simpler encryption approaches. So, the proposed technique first separates the color input image into 24 bits to be categorized into 8 bits for each color channel (red, green, and blue). Then, 3-bit levels are used with position sequences for substitutions taken from the 9-D Lorenz chaotic system. After that, a multilayer differentiation technique produces three key matrices, which are then used to diffuse the scrambled components and produce the color cipher image. The simulation results show that our method has a high visual quality of decrypted images as well as high protection against brute force attacks because we have a large key space used for encryption data. Moreover, our proposed technique achieves more security against statistical attacks, including histogram analysis, information entropy, and correlation coefficients between pixels. Finally, the proposed encryption technique achieves a more secure transmission than state-of-the-art encryption approaches to guarantee integrity, privacy, and efficiency through global networks.

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Section: System Parametersmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Scrambled Encryption Approach for Color Images Based on 9-D Chaotic Systems with 3-D Substitution Bit Levels

Abdel Hameed

2024

Aswan University Journal of Sciences and Technology

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“…Digital watermarking technology has emerged as an effective tool for safeguarding copyrights, making it a significant topic in the realm of digital multimedia research [1,2]. Currently, the majority of watermarking research is centered around images, audio, and videos [3][4][5][6], with relatively fewer studies addressing watermarking in the context of 3D digital models. It is widely recognized that in recent years, 3D models have found extensive applications in diverse fields such as industrial manufacturing, urban planning, architectural design, healthcare, cultural heritage preservation, film, gaming, and virtual reality.…”

Section: Introductionmentioning

confidence: 99%

A Dual Blind Watermarking Method for 3D Models Based on Normal Features

Tang,

Li,

Wang

et al. 2023

Entropy

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Digital watermarking technology is an important means to effectively protect three-dimensional (3D) model data. Among them, “blind detection” and “robustness” are key and difficult points in the current research of digital watermarking technology based on 3D models. In order to realize the blind detection of a watermark and improve its robustness against various common attacks at the same time, this paper proposes a dual blind watermarking method based on the normal feature of the centroid of first-ring neighboring points. The local spherical coordinate system is constructed by calculating two different normal vectors, and the first pattern watermark and the second random binary sequence watermark are embedded, respectively. The experimental results show that this method can not only realize the blind detection of dual watermarks, but also have the ability to resist common attacks such as translation, rotation, scaling, cropping, simplification, smoothing, noise, and vertex reordering to a certain extent.

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Optimized digital watermarking: Harnessing the synergies of Schur matrix factorization, DCT, and DWT for superior image ownership proofing

Al-Aiash,

Alquran,

AlJamal

et al. 2024

Multimed Tools Appl

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Image watermarking techniques based on Schur decomposition and various image invariant moments: a review

Cited by 8 publications

References 96 publications

Scrambled Encryption Approach for Color Images Based on 9-D Chaotic Systems with 3-D Substitution Bit Levels

Scrambled Encryption Approach for Color Images Based on 9-D Chaotic Systems with 3-D Substitution Bit Levels

A Dual Blind Watermarking Method for 3D Models Based on Normal Features

Optimized digital watermarking: Harnessing the synergies of Schur matrix factorization, DCT, and DWT for superior image ownership proofing

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