scholarly journals Design of a Hybrid Digital Watermarking Algorithm with High Robustness

2020 ◽  
Author(s):  
Yi Xie ◽  
Yulin Wang ◽  
Maode Ma
Keyword(s):  
Digital Watermarking ◽  
Singular Value ◽  
The Internet ◽  
Discrete Wavelet ◽  
Magic Square ◽  
Digital Multimedia ◽  
Security Scheme ◽  
Simulation Based ◽  
Simulation Results ◽  
Value Decomposition

With the development of the Internet, storage and transmission technologies such as printers and scanners, digital multimedia products are rapidly transmitted through the Internet broadcasting, multimedia works becoming easy to obtain and illegally tampering and copying. The copyright of media works urgently needs to be protected. As an important information security scheme, digital watermarking technology provides a powerful solution to the protection of multimedia works. In this paper, we propose an image digital watermarking algorithm combining discrete wavelet transform, discrete cosine transform and matrix singular value decomposition and new scrambling technique. Furthermore, to improve the robustness of the algorithm, grayscale scrambling and pseudo magic square transform are used. To evaluate our proposed algorithm, we realize the simulation based on Python 3.7.  All the simulation results show that our proposed algorithm has strong imperceptibility and robustness.    

Research of Digital Watermarking Algorithm Based on SVD and DWT

2011 ◽  
Vol 65 ◽  
pp. 385-388
Author(s):  
Ping Yang ◽  
Liang Yu Yang ◽  
Yu Jie Zhang
Keyword(s):  
Digital Watermarking ◽  
Low Frequency ◽  
Singular Values ◽  
Singular Value ◽  
Secret Message ◽  
Discrete Wavelet ◽  
Information Redundancy ◽  
Digital Multimedia ◽  
Multi Media ◽  
Value Decomposition

In order to protect the integrity and copyright, digital watermarking embeded secret message into the digital multi- media, which is not easy to detect the embedded watermarking, but determine the distinction using of information redundancy and randomness of digital multimedia. According to the characteristics of digital watermarking, the singular value decomposition (SVD) and discrete wavelet transform (DWT) algorithm are combined using the characteristics of SVD of image matrix and the features of multi-resolution of DWT. Therefore, a new digital watermarking algorithm of SVD is proposed in this paper. The singular values of each band of watermarking image are embedded into the coefficients of corresponding to the singular value of original image low-frequency band. The experimental results showed that the algorithm of the watermarking embedding and extraction had good robustness and effectiveness. The watermarking was robust and transparent.

scholarly journals Robust DWT-SVD Domain Image Watermarking based on Iterative Blending

2021 ◽  
Vol 2070 (1) ◽  
pp. 012111
Author(s):  
Kodathala Sai Varun ◽  
Ajay Kumar Mandava ◽  
Rakesh Chowdary
Keyword(s):  
Digital Watermarking ◽  
Copyright Protection ◽  
Image Watermarking ◽  
Singular Value ◽  
Discrete Wavelet ◽  
Digital Multimedia ◽  
Hybrid Watermarking ◽  
The Right ◽  
Value Decomposition ◽  
Watermarking Scheme

Abstract Copyright protection for digital multimedia has become a research hotspot in recent years. As an efficient solution, the digital watermarking scheme has emerged at the right moment. In this article, a highly robust and hybrid watermarking method is proposed. The discrete wavelet transform (DWT) and the singular value decomposition (SVD) as well as iterative blending are adopted in this method to insert and recover the watermark. To enhance the watermark imperceptibility, the second low-level (LL2) coefficients after SVD are modified by using the watermark. Compared with the conventional DWT-SVD-based watermarking method and other watermarking techniques, the watermarked images obtained by the proposed method have higher image quality. In addition, the proposed method achieves high robustness in resisting various image processing attacks.

A Unified Approach towards Multimedia Watermarking

2013 ◽  
pp. 376-399
Author(s):  
Ali Al-Haj ◽  
Ahmad Mohammad ◽  
Samir Abou El-Seoud ◽  
Tuqa Manasrah ◽  
Lama Rajab ◽  
...  
Keyword(s):  
Digital Media ◽  
Digital Watermarking ◽  
Singular Values ◽  
Discrete Wavelet ◽  
Digital Multimedia ◽  
Copyright Violation ◽  
The Media ◽  
Value Decomposition ◽  
Multimedia Watermarking ◽  
Dual Transform

The tremendous advancement of digital technology has increased the ease with which digital multimedia signals (image, video, audio) are stored, transmitted, and reproduced. Consequently, the content providers and owners are faced with problems of protection against copyright violation and other forms of abuse to their digital property. Digital watermarking has been proposed in the last decade as a solution to prevent illegal and malicious copying and distribution of digital media by embedding an unnoticeable information into the media content. This chapter describes three imperceptible and robust watermarking algorithms for different types of multimedia objects (image, video, audio). The three algorithms are based on cascading two powerful mathematical transforms; the Discrete Wavelet Transform (DWT), and the Singular Value Decomposition (SVD). The two transforms are different, and thus provide complementary levels of robustness against the same attack. In the proposed dual-transform algorithms, the watermark bits are not embedded directly on the wavelet coefficients, but rather on the elements of singular values of the DWT sub-bands of the multimedia object. Effectiveness of the proposed algorithms is demonstrated through extensive experimentation.

scholarly journals Texture Directionality-Based Digital Watermarking in Nonsubsample Shearlet Domain

2017 ◽  
Vol 2017 ◽  
pp. 1-14
Author(s):  
Jian Zhao ◽  
Shuaishuai Fan ◽  
Jian Jia ◽  
Shunli Zhang ◽  
Bo Jiang ◽  
...  
Keyword(s):  
Digital Watermarking ◽  
Wavelet Transforms ◽  
Rapid Development ◽  
Singular Value ◽  
Discrete Wavelet ◽  
Shearlet Transform ◽  
Multimedia Technologies ◽  
Edge Features ◽  
Value Decomposition ◽  
Transform Domains

Digital watermarking is a technique used to protect an author’s copyright and has become widespread due to the rapid development of multimedia technologies. In this paper, a novel watermarking algorithm using the nonsubsample shearlet transform is proposed, which combines the directional edge features of an image. A shearlet provides an optimal multiresolution and multidirectional representation of an image based on distributed discontinuities such as edges, which ensures that the embedded watermark does not blur the image. In the proposed algorithm, the nonsubsample shearlet transform is used to decompose the cover image into directional subbands, where different directional subbands represent different directional and textured features. The subband whose texture directionality is strongest is selected to carry the watermark and is thus suitable for the human visual system. Next, singular value decomposition is performed on the selected subband image. Finally, the watermark is embedded in the singular value matrix, which is beneficial for the watermarking robustness and invisibility. In comparison with related watermarking algorithms based on discrete wavelet transforms and nonsubsample contourlet transform domains, experimental results demonstrate that the proposed scheme is highly robust against scaling, cropping, and compression.

A Unified Approach Towards Multimedia Watermarking

2010 ◽  
pp. 228-253
Author(s):  
Ali Al-Haj ◽  
Ahmad Mohammad ◽  
Samir Abou El-Seoud ◽  
Tuqa Manasrah ◽  
Lama Rajab ◽  
...  
Keyword(s):  
Digital Media ◽  
Digital Watermarking ◽  
Singular Values ◽  
Discrete Wavelet ◽  
Digital Multimedia ◽  
Copyright Violation ◽  
The Media ◽  
Value Decomposition ◽  
Multimedia Watermarking ◽  
Dual Transform

The tremendous advancement of digital technology has increased the ease with which digital multimedia signals (image, video, audio) are stored, transmitted, and reproduced. Consequently, the content providers and owners are faced with problems of protection against copyright violation and other forms of abuse to their digital property. Digital watermarking has been proposed in the last decade as a solution to prevent illegal and malicious copying and distribution of digital media by embedding an unnoticeable information into the media content. This chapter describes three imperceptible and robust watermarking algorithms for different types of multimedia objects (image, video, audio). The three algorithms are based on cascading two powerful mathematical transforms; the Discrete Wavelet Transform (DWT), and the Singular Value Decomposition (SVD). The two transforms are different, and thus provide complementary levels of robustness against the same attack. In the proposed dual-transform algorithms, the watermark bits are not embedded directly on the wavelet coefficients, but rather on the elements of singular values of the DWT sub-bands of the multimedia object. Effectiveness of the proposed algorithms is demonstrated through extensive experimentation.

A Framework for Image Encryption on Frequency Domain

2019 ◽  
pp. 247-259
Author(s):  
Zhe Liu ◽  
Mee Loong Yang ◽  
Wei Qi Yan
Keyword(s):  
Image Encryption ◽  
Digital Watermarking ◽  
Logistic Map ◽  
Low Frequency ◽  
Singular Value ◽  
Encryption Algorithm ◽  
Discrete Wavelet ◽  
Secret Key ◽  
Value Decomposition ◽  
Image Encryption Algorithm

In this chapter, the authors propose an improved image encryption algorithm based on digital watermarking. The algorithm combines discrete wavelet transform (DWT), discrete cosine transform (DCT), and singular value decomposition (SVD) together in a DWT-DCT-SVD framework to improve the robust watermarking technique. The secret image is embedded into both high-frequency and low-frequency sub-bands of the host image; this makes it difficult to be attacked in all the sub-bands. To reduce the size of a secret key, the authors use a logistic map to generate random images so as to replace the host images. They tested the algorithm by using five types of attacks and the results indicate that the proposed algorithm has higher robustness than traditional chaotic scrambling method and the DRPE method. It shows strong resilience against the five types of attacks as well as statistical attacks.

scholarly journals APPLYING WATERMARKING IN DIGITAL IMAGE COPYRIGHT PROTECTION

2019 ◽  
Vol 1 (1) ◽  
pp. 1-8
Author(s):  
C Thanh Vo ◽  
Hung Phuoc Vo ◽  
Son Thai Nguyen
Keyword(s):  
Copyright Protection ◽  
Rapid Development ◽  
Singular Value ◽  
Digital Data ◽  
The Internet ◽  
Discrete Wavelet ◽  
Original Image ◽  
Value Decomposition ◽  
Embedded Image

Nowadays, with the rapid development of the Internet, the transmission of digital data such as images, videos and texts through the Internet becomes more convenient. Therefore, how to protect the integrity and copyright of digital data has become an urgent issue. This paper presents a watermarking method that based on Discrete Wavelet Transform (DWT), Discrete Cosine Transform (DCT) and Singular Value Decomposition (SVD) in order to protect copyright of digital images. The experimental results show that the quality of watermarked images are maintained good with high robustness against  various attacks and watermark can be extracted from embedded image without original image.

scholarly journals DIGITAL WATERMARKING IN THE SINGULAR VECTOR DOMAIN

2008 ◽  
Vol 08 (03) ◽  
pp. 351-368 ◽  
Author(s):  
RASHMI AGARWAL ◽  
M. S. SANTHANAM
Keyword(s):  
Digital Watermarking ◽  
Wavelet Transforms ◽  
Singular Vector ◽  
Singular Value ◽  
Discrete Wavelet ◽  
Discrete Wavelet Transforms ◽  
Host Image ◽  
Grey Scale ◽  
Value Decomposition ◽  
Transform Domains

Many current watermarking algorithms insert data in the spatial or transform domains like the discrete cosine, the discrete Fourier, and the discrete wavelet transforms. In this paper, we present a data-hiding algorithm that exploits the singular value decomposition (SVD) representation of the data. We compute the SVD of the host image and the watermark and embed the watermark in the singular vectors of the host image. The proposed method leads to an imperceptible scheme for digital images, both in grey scale and color and is quite robust against attacks like noise and JPEG compression.

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