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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.

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Citations
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Book ChapterDOI

Robust blind watermarking scheme using wave atoms

TL;DR: A robust blind watermarking scheme using Multiple Descriptions (MD) is proposed that has great robustness against various imaging attacks.
Proceedings ArticleDOI

A normalization based robust image watermarking scheme in Contourlet domain

TL;DR: A design for data hiding in digital image that robust with both geometric and common signal attacks is proposed and the watermark is embedded into normalized-based moments robust against affine transforms.

Watermarking scheme using genetic algorithm

TL;DR: A novel oblivious and robust image watermarking scheme using Multiple Descriptions Coding (MDC) and Quantization Index Modulation (QIM) and Genetic Algorithm (GA) is used for parameter optimization and thereby performance improvement is achieved over the existing methods.
Proceedings ArticleDOI

A Robust watermarking using RDWT and Schur with Firefly optimization* *Note: Sub-titles are not captured in Xplore and should not be used

TL;DR: In this paper, a firefly optimization is applied to balance robustness and imperceptibility in image watermarking, where the original image is partitioned into 4 × 4 blocks, and later Redundant Discrete Wavelet Transform (RDWT) and Schur applied for obtaining transform coefficients.
References
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Journal ArticleDOI

The contourlet transform: an efficient directional multiresolution image representation

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.
Journal ArticleDOI

A new class of two-channel biorthogonal filter banks and wavelet bases

TL;DR: The authors provide a novel mapping of the proposed 1-D framework into 2-D that preserves the following: i) perfect reconstruction; ii) stability in the IIR case; iii) linear phase in the FIR case; iv) zeros at aliasing frequency; v) frequency characteristic of the filters.
Journal ArticleDOI

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

Minh N. Do
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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