Optimum Watermark Design by Vector Space Projections

Altun, Oktay; Sharma, Gaurav; Bocko, Mark F.

doi:10.1109/icip.2006.312691

Cited by 3 publications

(2 citation statements)

References 11 publications

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“…There are many metrics used to evaluate the effectiveness of a watermarking algorithm [6,7]. The requirements of watermarking algorithm design depend on the specific needs of the application.…”

Section: Requirements Of Digital Watermarkingmentioning

confidence: 99%

Techniques and applications of intelligent multimedia data hiding

Huang

Fang

2010

Telecommun Syst

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In this paper, we present the intelligent multimedia data hiding techniques and their possible applications. An introduction on intelligent multimedia data hiding is described which covers backgrounds, recent advances, methodologies, and implementations. The recently developed research branch called reversible data hiding is also depicted. Two major classes for the implementation of reversible data hiding, namely, the difference expansion method, and the histogram-based scheme, are discussed. With its ease of implementation, the histogram-based reversible data hiding technique is then illustrated with simulation results and actual implementations. Possible extension for our work is also depicted in the concluding remarks.

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Section: Requirements Of Digital Watermarkingmentioning

confidence: 99%

Techniques and applications of intelligent multimedia data hiding

Huang

Fang

2010

Telecommun Syst

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“…There are many metrics used to evaluate the effectiveness of a watermarking algorithm [5] [6]. The requirements of watermarking algorithm design depend on the specific needs of the application.…”

Section: Requirements Of Digital Watermarkingmentioning

confidence: 99%

Intelligent Multimedia Data Hiding Techniques and Applications

Huang

Fang

2008

2008 International Conference on Information Security and Assurance (Isa 2008)

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Optimal Spread Spectrum Watermark Embedding via a Multistep Feasibility Formulation

Altun

Orsdemir

Sharma

et al. 2009

IEEE Trans. on Image Process.

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Abstract-We consider optimal formulations of spread spectrum watermark embedding where the common requirements of watermarking, such as perceptual closeness of the watermarked image to the cover and detectability of the watermark in the presence of noise and compression, are posed as constraints while one metric pertaining to these requirements is optimized. We propose an algorithmic framework for solving these optimal embedding problems via a multistep feasibility approach that combines projections onto convex sets (POCS) based feasibility watermarking with a bisection parameter search for determining the optimum value of the objective function and the optimum watermarked image. The framework is general and can handle optimal watermark embedding problems with convex and quasi-convex formulations of watermark requirements with assured convergence to the global optimum. The proposed scheme is a natural extension of set-theoretic watermark design and provides a link between convex feasibility and optimization formulations for watermark embedding. We demonstrate a number of optimal watermark embeddings in the proposed framework corresponding to maximal robustness to additive noise, maximal robustness to compression, minimal frequency weighted perceptual distortion, and minimal watermark texture visibility. Experimental results demonstrate that the framework is effective in optimizing the desired characteristic while meeting the constraints. The results also highlight both anticipated and unanticipated competition between the common requirements for watermark embedding.Index Terms-Optimum watermark design, projections onto convex sets (POCS), set theoretic watermarking, spread spectrum watermarking.

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Optimum Watermark Design by Vector Space Projections

Cited by 3 publications

References 11 publications

Techniques and applications of intelligent multimedia data hiding

Techniques and applications of intelligent multimedia data hiding

Intelligent Multimedia Data Hiding Techniques and Applications

Optimal Spread Spectrum Watermark Embedding via a Multistep Feasibility Formulation

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