Intelligent Multimedia Data Hiding

Watermarking is a technique of hiding a message about a work of media within that work itself in· the purpose of protecting the digital information against illegal duplication and manipulation. The objectives of this study are to analyze the robustness and distortion performance of watermarking system and to explore watermarking schemes which balance the robustness-distortion tradeoff optimally. In this thesis, We present a detector algorithm to adaptively extract spread spectrum watermark by filtering the watermarked images with Wiener filter. Two optimization algorithms for quantization watermarking are proposed. First one optimizes uniform quantization based look-up table embedding which minimizes watermarking distortion. Secondly, we analyze the robustness-distortion tradeoff and formulate the robustness-distortion tradeoff into a Lagrangian function. Hence optimal quantizers for watermarking subject to given robustness or fidelity constraint are achieved.

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Multimedia Data Hiding and Authentication via Halftoning and Coordinate Projection

EURASIP Journal on Advances in Signal Processing ◽

10.1155/s1110865702000513 ◽

2002 ◽

Vol 2002 (2) ◽

Cited By ~ 12

Author(s):

Chai Wah Wu

Keyword(s):

Data Hiding ◽

Multimedia Data ◽

Coordinate Projection

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Multimedia Data Hiding

Data Hiding ◽

10.1016/b978-1-59-749743-5.00004-3 ◽

2013 ◽

pp. 69-90

Author(s):

Michael Raggo ◽

Chet Hosmer

Keyword(s):

Data Hiding ◽

Multimedia Data

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RETRACTED ARTICLE: Image-based reversible data hiding algorithm toward big multimedia data

Multimedia Tools and Applications ◽

10.1007/s11042-017-5536-6 ◽

2018 ◽

Vol 77 (12) ◽

pp. 15997-15997 ◽

Cited By ~ 1

Author(s):

Chao Xiong ◽

Yuan Li ◽

Ruxi Xiang ◽

Ju Zhu

Keyword(s):

Data Hiding ◽

Reversible Data Hiding ◽

Multimedia Data ◽

Retracted Article ◽

Big Multimedia Data

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Multimedia Data Hiding

10.1007/978-0-387-21754-3 ◽

2003 ◽

Cited By ~ 35

Author(s):

Min Wu ◽

Bede Liu

Keyword(s):

Data Hiding ◽

Multimedia Data

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Intelligent Multimedia Data Analysis

10.1515/9783110552072 ◽

2019 ◽

Author(s):

Dibya Jyoti Bora ◽

Sebastian Salazar-Colores ◽

Fernando Cervantes-Sanchez ◽

Arturo Hernandez-Aguirre ◽

Ivan Cruz-Aceves ◽

...

Keyword(s):

Data Analysis ◽

Multimedia Data ◽

Intelligent Multimedia

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COVER NOISE INTERFERENCE SUPPRESSION IN MULTIMEDIA DATA HIDING

International Journal of Image and Graphics ◽

10.1142/s0219467805001720 ◽

2005 ◽

Vol 05 (01) ◽

pp. 191-207

Author(s):

LITAO GANG ◽

ALI N. AKANSU

Keyword(s):

Data Hiding ◽

General Problem ◽

Empirical Data ◽

Multimedia Data ◽

Optimal Detection ◽

Interference Rejection ◽

Simulation Studies ◽

Direct Sequence ◽

Noise Interference ◽

Novel Approach

In this paper, we investigate the general problem of data hiding and propose an approach for effective cover noise interference rejection in oblivious applications. We first evaluate the performance in the commonly used direct sequence modulation approach where a low-power signal is embedded into the original cover signal. The optimal detection is derived and its performance is analyzed. Second, we study a novel approach in oblivious data hiding and evaluate its performance and compare it with existing algorithms. Both simulation studies and empirical data hiding results validate its efficiency in the multimedia oblivious applications.

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