scholarly journals A Blind Multiple Watermarks based on Human Visual Characteristics

2018 ◽  
Vol 8 (4) ◽  
pp. 2578 ◽  
Author(s):  
Ferda Ernawan ◽  
Siau-Chuin Liew ◽  
Zuriani Mustaffa ◽  
Kohbalan Moorthy
Keyword(s):  
Cross Correlation ◽  
Threshold Value ◽  
Different Types ◽  
Multiple Watermarks ◽  
Visual Characteristics ◽  
Block Based ◽  
Value Decomposition ◽  
Watermarking Scheme ◽  
Normalize Cross Correlation ◽  
Human Visual Characteristics

<span lang="EN-MY">Digital watermarking is an alternative solution to prevent unauthorized duplication, distribution and breach of ownership right. </span><span>This paper proposes a watermarking scheme for multiple watermarks embedding. The embedding of multiple watermarks use a block-based scheme based on human visual characteristics. A threshold is used to determine the watermark values by modifying first column of the orthogonal <em>U</em> matrix obtained from Singular Value Decomposition (SVD). The tradeoff between normalize cross-correlation and imperceptibility of watermarked image from quantization steps was used to achieve an optimal threshold value. The results show that our proposed multiple watermarks scheme exhibit robustness against signal processing attacks. The proposed scheme demonstrates that the watermark recovery from chrominance blue was resistant against different types of attacks.</span>

scholarly journals Image adaptive DCT- SVD based digital watermarking scheme by human visual characteristics

2015 ◽  
Vol 3 (1) ◽  
Author(s):  
Justin Varghese ◽  
Saudia Subash ◽  
Omer Bin Hussain ◽  
Mohammed Ramadan Saady ◽  
Bijoy Babu ◽  
...  
Keyword(s):  
Digital Watermarking ◽  
Visual Characteristics ◽  
Watermarking Scheme ◽  
Human Visual Characteristics

scholarly journals Transform Domain Digital Watermarking with Multiple Images as Watermarks

2019 ◽  
Author(s):  
Amita Singha ◽  
Muhammad Ahsan Ullah
Keyword(s):  
Cross Correlation ◽  
Image Watermarking ◽  
Singular Value ◽  
Discrete Wavelet ◽  
Security Level ◽  
Transform Domain ◽  
Multiple Images ◽  
Multiple Watermarks ◽  
Value Decomposition ◽  
Host Signal

In this paper, a technique of image watermarking using multiple images as watermarks is presented. The technique is based on transform domain functions including discrete wavelet transform (DWT), discrete cosine transform (DCT) and singular value decomposition (SVD) with an image as the host signal i.e. the watermarks will be used as proofs of the authenticity of the host image. The technique is executed by performing multilevel DWT followed by applying DCT and SVD to both the host and watermark. Multiple watermarks are used for the insurance of better security level. The scheme is immune to common image processing operations &amp; some attacks and exhibits PSNR of 108.3781dB, normalized cross correlation (NCC) over 0.99 and normalized correlation (NC) over 0.99.

scholarly journals Multiple watermarking technique using optimal threshold

2020 ◽  
Vol 18 (1) ◽  
pp. 368
Author(s):  
Noruhida Alias ◽  
Ferda Ernawan
Keyword(s):  
Cross Correlation ◽  
Orthogonal Matrix ◽  
Arnold Transform ◽  
High Demand ◽  
Trade Off ◽  
Multiple Watermarking ◽  
Jpeg2000 Compression ◽  
Optimal Thresholds ◽  
Multiple Watermarks ◽  
Watermarking Scheme

<span>The multiple watermarking technique has drawn more attention due to high demand for embedding more than one copyright. This paper proposes a multiple watermarking scheme using DWT-SVD by utilizing HVS characteristics. Our scheme embeds multiple watermarks in red and blue colors. The proposed scheme examines the coefficients of U orthogonal matrix for embedding and extracting watermarks. Watermarks are scrambled by Arnold transform before embedded in the host image in order provide additional security. The optimal thresholds for red and blue colors are revealed by finding a trade-off between normalized-cross correlation and imperceptibility from quantization steps. The experimental results demonstrate that our scheme achieves high resistant under JPEG and JPEG2000 compression for both inserted watermarks. </span>

scholarly journals Transform Domain Block Based Watermarking using Spatial Frequency and SVD

2019 ◽  
Vol 8 (9S4) ◽  
pp. 154-162
Keyword(s):  
Spatial Frequency ◽  
Image Watermarking ◽  
Threshold Value ◽  
Cover Image ◽  
Discrete Wavelet ◽  
Transform Domain ◽  
Watermark Image ◽  
Block Based ◽  
Domain Block ◽  
Watermarking Scheme

Digital image watermarking has been proposed to protect the digital multimedia content. The main objectives of watermarking scheme are robustness, reliability, security against numerous attacks. To improve the imperceptibility, robustness and capacity of the watermarked image, this paper presents a transform domain watermarking method using spatial frequency and block SVD. The spatial frequency is used to select the appropriate blocks for embedding the watermark image by transforming the SVD coefficients of these blocks of the cover image. In this paper first we scramble the cover image by ZIG-ZAG sequencing and then rearranged. After that Shift Invariant Discrete Wavelet Transformed (SIDWT) cover image is partioned in to non-overlapping blocks. Then find out the spatial frequency of these blocks, those blocks which spatial frequency value greater than threshold value are selected for embedding process. Now the watermark image directly embedded by modifying the SVD coefficient of these blocks and get watermarked image. Then inverse process is applied for extracting for watermark image form noisy image. Experimental outcomes show that the proposed scheme is higher imperceptible, robust against various image processing attacks and produce improved results as compared to previous presented schemes

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