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Robust Digital Watermarking Scheme using Contourlet Transform
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TLDR
A novel oblivious and highly robust watermarking scheme using Multiple Descriptions (MD) and Quantization Index Modulation (QIM) of the host image and superior in terms of Peak Signal to Noise Ratio (PSNR) and Normalized Cross correlation (NC).Abstract:
Summary A novel oblivious and highly robust watermarking scheme using Multiple Descriptions (MD) and Quantization Index Modulation (QIM) of the host image is presented in this paper. The watermark is embedded in the Discrete Contourlet Transform domain (CT). Discrete Countourlet Transform (CT) is able to capture the directional edges and contours superior to Discrete Wavelet Transform (DWT). Watermark embedding is done at two stages for achieving robustness to various attacks. This algorithm is highly robust for different attacks on the watermarked image and superior in terms of Peak Signal to Noise Ratio (PSNR) and Normalized Cross correlation (NC). here the part of summary.read more
Citations
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Journal ArticleDOI
Robust Image Watermarking in contourlet Domain Using Genetic Algorithm
TL;DR: This paper objective is to develop a robust image watermarking method in contourlet domain using GA(Genetic Algorithm) to improve the quality and robustness of the watermarked image, by reducing the (BER)Bit Error Rate to with stand against common image processing attacks.
Proceedings ArticleDOI
Hybrid image watermarking scheme using SVD and PDFB based contourlet transform
TL;DR: This transform being similar to DWT fits well to provide a robust watermarking scheme along with the SVD and the combination of pyramidal and directional filter bank (PDFB) in CT has been used.
Proceedings ArticleDOI
A hybrid watermarking scheme using Contourlet transform and fuzzy logic
TL;DR: A hybrid watermarking scheme using fuzzy logic to obtain optimal parameters based on Contourlet transform domain using linguistic variables, fuzzy logic and the fuzzy logic control system that defines fuzzy parameters for each application.
Book ChapterDOI
Improving the Performance of Color Image Watermarking Using Contourlet Transform
Dinesh Kumar,Vijay Kumar +1 more
TL;DR: The experimental results demonstrate that the proposed watermarking scheme is robust against common image processing attacks and the comparison analysis reveals that the proposal outperforms the color image water marking scheme reported recently.
Journal ArticleDOI
An Overview of Multimodal Biometric Approaches Based on Digital Image Watermarking
Abdulmawla Najih,Syed Abdul Rahman Al-Haddad,Abd Rahman Ramli,Shaiful Jahari Hashim,Mohammad Ali Nematollahi +4 more
TL;DR: The results show that embedding voice biometric in face image not only can improve the recognition performance, but also, can improved the security of the multimodal biometric systems.
References
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The contourlet transform: an efficient directional multiresolution image representation
Minh N. Do,Martin Vetterli +1 more
TL;DR: A "true" two-dimensional transform that can capture the intrinsic geometrical structure that is key in visual information is pursued and it is shown that with parabolic scaling and sufficient directional vanishing moments, contourlets achieve the optimal approximation rate for piecewise smooth functions with discontinuities along twice continuously differentiable curves.
Journal ArticleDOI
Improved wavelet-based watermarking through pixel-wise masking
TL;DR: A new approach to mask the watermark according to the characteristics of the human visual system (HVS) is presented, which is accomplished pixel by pixel by taking into account the texture and the luminance content of all the image subbands.
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SVD-based digital image watermarking scheme
TL;DR: In this paper, a singular value decomposition (SVD)-based watermarking scheme is proposed, which preserves both one-way and non-symmetric properties, usually not obtainable in DCT and DFT transformations.
Directional multiresolution image representations
TL;DR: This thesis focuses on the development of new "true" two-dimensional representations for images using a discrete framework that can lead to algorithmic implementations and a new family of block directional and orthonormal transforms based on the ridgelet idea.
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