Robust image watermarking based on Dual Intermediate Significant Bit (DISB)

Mohammed, Ghassan N.; Yasin, Azman; Zeki, Akram M.

doi:10.1109/csit.2014.6805973

Cited by 8 publications

(6 citation statements)

References 10 publications

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“…images, audio, texts and videos) copyright protection, e.g. [20], [23], [25], digital vector data received less attention, as pointed out in several recent review papers [1], [4], [28].…”

Section: Introductionmentioning

confidence: 99%

A Clustering Approach for Protecting GIS Vector Data

Abubahia

Cocea

2015

Advanced Information Systems Engineering

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The availability of Geographic Information System (GIS) data has increased in recent years, as well as the need to prevent its unauthorized use. One way of protecting this type of data is by embedding within it a digital watermark. In this paper, we build on our previous work on watermarking vector map data, to improve the robustness to (unwanted) modifications to the maps that may prevent the identification of the rightful owner of the data. More specifically, we address the simplification (removing some vertices from GIS vector data) and interpolation (adding new vertices to GIS data) modifications by exploiting a particular property of vector data called a bounding box. In addition, we experiment with bigger maps to establish the feasibility of the approach for larger maps.

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“…images, audio, texts and videos) copyright protection, e.g. [20], [23], [25], digital vector data received less attention, as pointed out in several recent review papers [1], [4], [28].…”

Section: Introductionmentioning

confidence: 99%

A Clustering Approach for Protecting GIS Vector Data

Abubahia

Cocea

2015

Advanced Information Systems Engineering

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“…By the spatial domain, Jobin Abraham [7] generated a fragile watermark that could better resist noise attacks, by the least significant bit (LSB) algorithm [8]. Ghassan N. Mohammed [9] proposed watermarking images algorithm based on DISB model, and in this method, two bits were embedded in each pixel of the original image. In the case of high watermark image quality, the proposed model had better robustness and was superior to the LSB algorithm.…”

Section: Literature Surveymentioning

confidence: 99%

“…In this paper, median filtering attacks of [3,3], [5,5], [7,7] and [9,9], and 1, 10 and 20 times were carried out on the original image respectively. Parts of the attack results and extracted watermark were shown in Fig.…”

Section: Median Filter Attacksmentioning

confidence: 99%

A robust encryption watermarking algorithm for medical images based on ridgelet-DCT and THM double chaos

Liu

et al. 2022

J Cloud Comp

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With the help of big data, cloud computing, artificial intelligence and other technologies, the informatization and intelligence of the wisdom medical have been gradually realized. However, with the transmission and storage of massive amounts of medical images in the cloud, information security issues have become increasingly prominent. The privacy of patients is at risk of disclosure, theft and tampering, which has become an important challenge restricting the development of wisdom medical. How to protect the personal information of patients in the cloud environment has become an urgent problem to be solved. Medical image watermarking technology is an effective method to solve this problem. Combining the characteristics of Tent chaos and Henon chaos, this paper designed a Tent-Henon-Map double chaos watermarking encryption method and designed a medical image encryption watermarking algorithm based on ridgelet-DCT transform. The watermark images were encrypted by the Tent-Henon-Map double chaos which had the characteristics of sensitive initial values and large key space. Then, the feature vectors of the medical images were extracted through ridgelet-DCT transform. On the basis of ordinary watermarking technology, combined with zero watermarking, third-party concepts, and cryptographic technology, watermarking had a good ability to resist image processing attacks. The experimental results showed that the key space of the algorithm was $${10}^{116}$$ 10 116 , which had better encryption and hard to crack. The time of watermark embedding and extraction were only 0.336 s and 0.439 s, with lower computational cost. And under high-strength conventional attacks and geometric attacks, the NC values of the algorithm were all greater than 0.55, which could effectively extract watermark information. It shown that the algorithm proposed had good robustness against conventional and geometric attacks It shown that the algorithm proposed had good robustness against conventional and geometric attacks, while taking into account the security.

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“…In this method, the watermark image is protected from various attacks and alteration of watermarked image is minimized [66]. Another study [67] concentrated on the dual intermediate significant bit (DISB) model, in which two bits are embedded into each pixel of the host image and the remaining six (06) bits are changed to adjust the original pixel. The watermark image can be chosen by selecting the nearest pixel value to the original, if there exists a difference between the original and the embedded one.…”

Section: Intermediate Significant Bit (Isb)mentioning

confidence: 99%

Digital Image Watermarking Techniques: A Review

2020

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Digital image authentication is an extremely significant concern for the digital revolution, as it is easy to tamper with any image. In the last few decades, it has been an urgent concern for researchers to ensure the authenticity of digital images. Based on the desired applications, several suitable watermarking techniques have been developed to mitigate this concern. However, it is tough to achieve a watermarking system that is simultaneously robust and secure. This paper gives details of standard watermarking system frameworks and lists some standard requirements that are used in designing watermarking techniques for several distinct applications. The current trends of digital image watermarking techniques are also reviewed in order to find the state-of-the-art methods and their limitations. Some conventional attacks are discussed, and future research directions are given.

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Robust image watermarking based on Dual Intermediate Significant Bit (DISB)

Cited by 8 publications

References 10 publications

A Clustering Approach for Protecting GIS Vector Data

A Clustering Approach for Protecting GIS Vector Data

A robust encryption watermarking algorithm for medical images based on ridgelet-DCT and THM double chaos

Digital Image Watermarking Techniques: A Review

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