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.

A SVD and Modified Firefly Optimization Based Robust Digital Image Watermarking Technique

2017 ◽  
Vol 7 (7) ◽  
pp. 268
Author(s):  
Chauhan Usha ◽  
Singh Rajeev Kumar
Keyword(s):  
Digital Media ◽  
Firefly Algorithm ◽  
Image Watermarking ◽  
Singular Values ◽  
Robust Watermarking ◽  
Scaling Factors ◽  
Geometric Attacks ◽  
Host Image ◽  
Firefly Optimization ◽  
Value Decomposition

Digital Watermarking is a technology, to facilitate the authentication, copyright protection and Security of digital media. The objective of developing a robust watermarking technique is to incorporate the maximum possible robustness without compromising with the transparency. Singular Value Decomposition (SVD) using Firefly Algorithm provides this objective of an optimal robust watermarking technique. Multiple scaling factors are used to embed the watermark image into the host by multiplying these scaling factors with the Singular Values (SV) of the host image. Firefly Algorithm is used to optimize the modified host image to achieve the highest possible robustness and transparency. This approach can significantly increase the quality of watermarked image and provide more robustness to the embedded watermark against various attacks such as noise, geometric attacks, filtering attacks etc.

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.

scholarly journals Dual Image Signature Method using DWT and SVD in YCbCr Colour Space

2019 ◽  
Vol 9 (1) ◽  
pp. 1471-1476
Keyword(s):  
Singular Values ◽  
Singular Value ◽  
Digital Data ◽  
Cover Image ◽  
Discrete Wavelet ◽  
Colour Space ◽  
Dual Image ◽  
Dual Images ◽  
Value Decomposition ◽  
Image Signature

The digital data can be easily modified and copied, so it is not secure, so owner authentication is required to prevent this unauthorised access of digital data. Image signature (water mark) is required to embed with digital data. The Discrete Wavelet Transform (DWT) supports image signature algorithms possess dual resolution attaining imperceptibility. The Singular Value Decomposition (SVD) supports to achieving the robustness in order to add the signature information to the singular values of the diagonal matrix.. In this work implementing dual image signature method using DWT and SVD in YCbCr colour space. The cover image is embedded with dual images to achieve better security from unauthorized persons. The proposed method improves the robustness and imperceptibility of the cover image.

scholarly journals IMPLEMENTASI DISCRETE WAVELET TRANSFORM (DWT) DAN SINGULAR VALUE DECOMPOSITION (SVD) PADA IMAGE WATERMARKING

2016 ◽  
Vol 3 (1) ◽  
Author(s):  
Maretha Ruswiansari ◽  
Atik Novianti ◽  
Wirawan Wirawan
Keyword(s):  
Wavelet Transform ◽  
Singular Value Decomposition ◽  
Discrete Wavelet Transform ◽  
Image Watermarking ◽  
Singular Value ◽  
Discrete Wavelet ◽  
Arnold Transform ◽  
Value Decomposition

Keaslian informasi dalam berbagai bentuk dan media tidak lagi terjaga karena setiap orang dapat mengubah dan memodifikasinya untuk kemudian disebarkan kembali. Tanda air (watermarking) dapat diartikan sebagai suatu teknik penyisipan dan atau penyembunyian informasi yang bersifat rahasia pada suatu data lainnya untuk “ditumpangi” (kadang disebut dengan host data), tetapi orang lain tidak menyadari adanya kehadiran data tambahan pada data host-nya (istilah host digunakan untuk data atau sinyal digital yang disisipi), sehingga seolah-olah tidak ada perbedaan berarti antara data host sebelum dan sesudah proses watermarking. Pada penelitian ini dilakukan simulasi algoritma watermarking dengan menyisipkan citra watermark ke citra asli menggunakan Discrete Wavelet Transform (DWT) dan Singular Value Decomposition (SVD). Penelitian ini menggunakan citra host berwarna sehingga perlu dilakukan proses konversi citra RGB menjadi komponen Y, Cb, dan Cr. Metode DWT-SVD lebih tahan terhadap attack dibandingkan dengan metode DWT. Prosespenyisipan watermark dengan Arnold transform menghasilkan PSNR lebih tinggi dibandingkan tanpa Arnold transform, dimana dengan Arnold transform PSNR = 85.7959 dB, dan tanpa Arnold transform PSNR = 85.3901 dB. Semakin rendah PSNR maka semakin tinggi nilai similarity factor (SF) dan semakin jelas watermark-nya.

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.

Research on Digital Watermarking Algorithm Based on Discrete Wavelet Transform and Singular Value Decomposition

2015 ◽  
Vol 713-715 ◽  
pp. 1843-1846
Author(s):  
Yan Yu Wang
Keyword(s):  
Wavelet Transform ◽  
Discrete Wavelet Transform ◽  
Digital Watermarking ◽  
Singular Values ◽  
Discrete Wavelet ◽  
Watermark Image ◽  
Original Image ◽  
Host Image ◽  
Important Means ◽  
Value Decomposition

Digital watermarking technology has become an important means of integrity and respect for people's authenticity, as well as users of copyright and intellectual property security and other interests such as the protection of digital works. In this paper, we proposed a watermarking algorithm based on discrete wavelet transform (DWT) of image and singular valued composition (SVD). The original image is decomposed with DWT,the watermarking image is decomposed with SVD after chaotic scrambling,and then the singular values of watermarking are embedded into some coefficients of decomposed original image. In this algorithm, after decomposing the original host image into four bands, we apply the SVD to watermark image,and modify DWT coefficients of the host image with the singular values of the watermark image. The outstanding features of the proposed algorithm are that it provides larger watermarking capacity and is more robust than others.

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 Robust Digital Image Watermarking in Hybrid Frequency Domain

2018 ◽  
Vol 7 (3.6) ◽  
pp. 243 ◽  
Author(s):  
P Sridhar ◽  
. .
Keyword(s):  
Signal Processing ◽  
Image Watermarking ◽  
Singular Values ◽  
Scaling Factor ◽  
Discrete Wavelet ◽  
Geometric Attacks ◽  
Host Image ◽  
Hybrid Frequency ◽  
Left And Right ◽  
Block Based

Image watermarking is a method to hide the secret information in a host image for copyright protection of watermark data during the transmission by means of insecure channel. The proposed scheme protects our data with adaptive level of visual quality and robustness against signal processing and geometric attacks. The proposed method divides the host image into four non-overlapping segments labelled as sub-images, DWT is applied on each sub images and then block based DCT is applied on mid frequency channels LH and HL of discrete wavelet transform. Embedded matrix is formed using hybrid transformed coefficients where matrix elements are chosen from the localized two mid frequency coefficients of each block in DCT. SV Decomposition is applied on embedded matrix to factorize it into singular values, left and right singular vectors and embed the scrambled watermark image along with scaling factor in singular value matrix. This repetition of watermark data in each sub-image reduces the PSNR values of the watermarked image. Despite this proposed scheme scales down PSNR value, changing the scaling factor favours to adjust the PSNR to the acceptable level and withstand the signal processing attacks such as JPEG compression and geometrical attack such as rotation, translation. Compared to the other method, the proposed scheme gives better correlation coefficient value for above mentioned kinds of attacks and also provide adaptive PSNR for imperceptibility on watermarked image.  

scholarly journals A High Result in Wavelet Watermarking Using Singular Value Decomposition

2019 ◽  
pp. 269-276
Author(s):  
Wellia Shinta Sari ◽  
Christy Atika Sari
Keyword(s):  
Singular Value Decomposition ◽  
Digital Images ◽  
Image Watermarking ◽  
Singular Value ◽  
Digital Data ◽  
Discrete Wavelet ◽  
Good Image Quality ◽  
Host Image ◽  
High Result ◽  
Value Decomposition

Internet that has developed into a good distribution tool for digital data, causing a large increase in digital data sharing, especially in the form of digital images, and causing problems that need attention. One of them is about copyright protection. Watermarking is one technique that aims to protect digital image copyright. In this study, watermarking was carried out using the Discrete Wavelet Transform (DWT) and Singular Value Decomposition (SVD) algorithms in digital images with different file extensions. Transformation of 2 levels of DWT and SVD on the host image and SVD transformation on the watermarked image that inserted in the LL2 sub-band of the host image. Watermarking with the proposed method produces good image quality with PSNR values exceeding 40 dB, SSIM reaching 0.99 and NCC reaching 1. This shows a robust and imperceptible watermarking image.

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