scholarly journals Host Feasibility Investigation to Improve Robustness in Hybrid DWT+SVD Based Image Watermarking Schemes

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Tanya Koohpayeh Araghi ◽  
Azizah Abd Manaf ◽  
Ala Alarood ◽  
Azida Binti Zainol
Keyword(s):  
Feasibility Study ◽  
Image Watermarking ◽  
Singular Values ◽  
Experimental Result ◽  
Discrete Wavelet ◽  
Value Decomposition ◽  
Specific Implementation ◽  
Performance Gains ◽  
Watermarking Scheme ◽  
Study Plan

Today, we face different approaches to enhance the robustness of image watermarking schemes. Some of them can be implemented, but others in spite of spending money, energy, and time for programming purpose would fail because of not having a strong feasibility study plan before implementation. In this paper, we try to show a rational feasibility study before implementation of an image watermarking scheme. We develop our feasibility study by proposing three types of theoretical, mathematical, and experimental deductions. Based on the theoretical deduction, it is concluded that the “S” coefficients in the second level of Singular Value Decomposition (SVD) offer high robustness to embed watermarks. To prove this, a mathematical deduction composed of two parts is presented and the same results were achieved. Finally, for experimental deduction, 60 different host images in both normal and medical images from various sizes of 256⁎256 to 1024⁎1024 were imposed to 9 common geometric and signal processing attacks and the resistances of “S” coefficients against the attacks in the first and second levels of SVD were compared. Experimental result shows significant enhancement in stability and robustness of the “S” coefficients in the second level of SVD in comparison to the first level. Consequently all theoretical, mathematical, and experimental deductions confirmed domination of the “S” coefficients in the second level of SVD than the first level. In this paper, we do not show any specific implementation for the watermarking scheme. Instead, we investigate the potential performance gains from the singular values (S), of the second level of SVD and Discrete Wavelet Transform (DWT), and prove their superiority in comparison to conventional SVD+DWT watermarking schemes.

scholarly journals A new DWT-SVD based robust watermarking scheme for real property rights

2014 ◽  
Vol 3 (2) ◽  
pp. 69-78
Author(s):  
Sedigeh Razavi babakalak ◽  
Mohammad Ali Balafar ◽  
Ali Farzan
Keyword(s):  
Property Rights ◽  
Image Watermarking ◽  
Singular Values ◽  
Discrete Wavelet ◽  
Digital Image Watermarking ◽  
Robust Watermarking ◽  
Real Property ◽  
Noise Type ◽  
Value Decomposition ◽  
Watermarking Scheme

In this paper, a new robust digital image watermarking algorithm which was based on singular value decomposition (SVD) and discrete wavelet transform (DWT) was proposed and simulated for protecting real property rights. A gray scale logo image, rather than a randomly generated Gaussian noise type watermark, was used as a watermark. Its embedding algorithm hid a watermark LL sub-band blocks in the low–low (LL) and high-high (HH) sub-bands of a target non-overlapping block of the host image by modifying singular values on SVD version of these blocks. A semi-blind watermark extraction was designed to estimate the original coefficients. Experimental results showed that the proposed scheme made significant improvements in terms of both transparency and robustness and was superior to the existing methods which were considered in this paper.

A Robust Image Watermarking Scheme in DWT-SVD Domain Based on just Noticeable Distortion

2013 ◽  
Vol 427-429 ◽  
pp. 1723-1726
Author(s):  
Chun Xing Wang ◽  
Jiao Jiao Zhang
Keyword(s):  
Image Watermarking ◽  
Singular Value ◽  
Discrete Wavelet ◽  
Visual Model ◽  
Adaptive Watermarking ◽  
Just Noticeable Distortion ◽  
And Performance ◽  
Value Decomposition ◽  
Watermarking Scheme ◽  
Human Visual Model

This paper proposes a novel scheme combining Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) for image watermarking. The watermarking image is separated by two parts randomly, then they are embedded into the sub-bands obtained from the original image in DWT domain by modifying the singular value. SVD is applied twice in this scheme.The use of the threshold of Just Noticeable Distortion (JND) based on human visual model determines the embedding strength and position of the watermark, the digital adaptive watermarking algorithm in a combinational domain is realized. The experimental results show that the proposed scheme has a good invisibility and performance of robustness for common attacks, simultaneously enhances the embedding capacity and security.

Robust Watermarking Using n-Diagonalization Based on Householder Transform

2014 ◽  
Vol 18 (4) ◽  
pp. 549-557
Author(s):  
Jaesung Park ◽  
◽  
Kazuhito Sawase ◽  
Hajime Nobuhara
Keyword(s):  
Image Watermarking ◽  
Singular Values ◽  
Discrete Wavelet ◽  
Robust Watermarking ◽  
Orthogonal Matrices ◽  
Information Quantity ◽  
Control Information ◽  
Value Decomposition ◽  
Householder Transform ◽  
Better Than

Digital image watermarking based on singular value decomposition (SVD) is highly robust against misuse, but lacks the ability to distinguish whether watermarks are correct due to the importance of singular values being lower than two orthogonal matrices. To achieve highly accurate watermark extraction while maintaining high robustness, we propose robust watermarking based on discrete wavelet transform (DWT) and n-diagonalization formalized by Householder transformation. We propose that DWT be used to ensure visibility and that n-diagonalization be used to control information quantity related to watermark extraction accuracy. Experimental results confirm the robustness of our proposed method and that the extraction accuracy of the proposed method is approximately 2 times better than that of SVD.

scholarly journals A Novel Dual Image Watermarking Technique Using Homomorphic Transform and DWT

2020 ◽  
Vol 30 (1) ◽  
pp. 297-311
Author(s):  
Priyank Khare ◽  
Vinay Kumar Srivastava
Keyword(s):  
Image Watermarking ◽  
Singular Values ◽  
Discrete Wavelet ◽  
Image Simulation ◽  
Arnold Transform ◽  
Host Image ◽  
Dual Image ◽  
A New Technique ◽  
Value Decomposition ◽  
Ownership Rights

Abstract In this paper a new technique of dual image watermarking is proposed for protection of ownership rights which utilizes salient properties of homomorphic transform (HT), discrete wavelet transform (DWT), singular value decomposition (SVD) and Arnold transform (AT). In embedding algorithm host image is splitted into reflectance and illumination components using HT, DWT is further applied to the reflectance component resulting in frequency subbands (HL and LH) which are transformed by SVD. Two image watermarks are selected for embedding process whereas security of proposed algorithm is strengthen by performing scrambling of second watermark through AT. Both watermarks are transformed with DWT and SVD. Singular values (SVs) of both transformed watermark are embedded into SVs of host image. Simulation results clearly signifies for high robustness and imperceptibility of proposed algorithm as it is examined under various attacks. Superiority of proposed technique is illustrated by comparing it with other reported methods.

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