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Journal ArticleDOI

Optimum decoding and detection of multiplicative watermarks

TLDR
This work addresses the problem of optimum decoding and detection of a multibit, multiplicative watermark hosted by Weibull-distributed features: a situation which is classically encountered for image watermarking in the magnitude-of-DFT domain.
Abstract
This work addresses the problem of optimum decoding and detection of a multibit, multiplicative watermark hosted by Weibull-distributed features: a situation which is classically encountered for image watermarking in the magnitude-of-DFT domain. As such, this work can be seen as an extension of the system described in a previous paper, where the same problem is addressed for the case of 1-bit watermarking. The theoretical analysis is validated through Monte Carlo simulations. Although the structure of the optimum decoder/detector is derived in the absence of attacks, some experimental results are also presented, giving a measure of the overall robustness of the watermark when attacks are present.

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Citations
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Book

Digital Watermarking

TL;DR: Digital Watermarking covers the crucial research findings in the field and explains the principles underlying digital watermarking technologies, describes the requirements that have given rise to them, and discusses the diverse ends to which these technologies are being applied.
Journal ArticleDOI

An improved SVD-based watermarking scheme using human visual characteristics

TL;DR: An improved SVD-based watermarking technique considering human visual characteristics is presented and experimental results are provided to demonstrate the proposed approach is able to withstand a variety of image processing attacks.
Journal ArticleDOI

A digital watermarking scheme based on singular value decomposition and tiny genetic algorithm

TL;DR: A robust digital image watermarking scheme based on singular value decomposition (SVD) and a tiny genetic algorithm (Tiny-GA) and Experimental results demonstrate that the scheme is able to withstand a variety of image processing attacks.

Algorithms for audio watermarking and steganography

TL;DR: The main results of this study are the development of novel audio watermarking algorithms, with the state-of-the-art performance and an acceptable increase in computational complexity.
Journal ArticleDOI

Contourlet-Based Image Watermarking Using Optimum Detector in a Noisy Environment

TL;DR: Experimental results confirm the superiority of the proposed method against common attacks, such as Additive White Gaussian Noise (AWGN), JPEG compression, and rotation attacks, in comparison with the recently proposed techniques.
References
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Journal ArticleDOI

DCT-domain watermarking techniques for still images: detector performance analysis and a new structure

TL;DR: Analysis of a spread-spectrum-like discrete cosine transform (DCT) domain watermarking technique for copyright protection of still digital images is analyzed and analytical expressions for performance measures are derived and contrasted with experimental results.
Journal ArticleDOI

A new decoder for the optimum recovery of nonadditive watermarks

TL;DR: A new decoding algorithm is presented here which is optimum for nonadditive watermarks embedded in the magnitude of a set of full-frame DFT coefficients of the host image, and the results obtained confirm the superiority of the novel algorithm with respect to classical correlation-based decoding.
Journal ArticleDOI

Approaching the capacity limit in image watermarking: a perspective on coding techniques for data hiding applications

TL;DR: It is shown that the use of superimposed pulses does not produce any benefit when applying them to data hiding and the possibility of using codes at the ‘sample level’ (that is, without repeating every codeword symbol) is introduced and its potential analyzed for both hard- and soft-decision decoding.
Proceedings ArticleDOI

Optimal detection of multiplicative watermarks

TL;DR: A watermark detector for images which are watermarked in a multiplicative way is derived based on maximum-likelihood estimation of the embedding strength of the watermark.
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