Color image watermark extraction based on support vector machines

Tsai, Hung-Hsu; Sun, Duen-Wu

doi:10.1016/j.ins.2006.05.002

Cited by 134 publications

(49 citation statements)

References 20 publications

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“…In this section, the authors compare the proposed method with some existing state-of-the-art methods, concretely, Chou and Liu (2010), Xiang-yang et al (2013), Niu et al (2011), Tsai andSun (2007), Fu and Shen (2008), and Tsougenis et al (2014). These methods describe the watermarking schemes for color images using a binary watermark image without the requirement of the original image in the extraction process, so they can be essentially seen as A C C E P T E D M A N U S C R I P T blind watermarking techniques.…”

Section: Comparison With State-of-the-art Methodsmentioning

confidence: 99%

“…A single secret key is considered in the Arnold transform (Xiang-yang et al, 2013), the quantization process (Tsougenis et al, 2014), and the coefficient block selection (Niu et al, 2011) to enhance the security. A mixture key containing the copyright owner's privacy is also expressed in studies of Tsai and Sun (2007) and Fu and Shen (2008). Although presented under different manners, a secret key is firstly used to protect the watermark out of attackers and secondly support for the extraction process.…”

Section: Comparison With State-of-the-art Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Improving digital image watermarking by means of optimal channel selection

Huynh‐The

Baños

Lee

et al. 2016

Expert Systems with Applications

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Section: Comparison With State-of-the-art Methodsmentioning

confidence: 99%

Section: Comparison With State-of-the-art Methodsmentioning

confidence: 99%

Improving digital image watermarking by means of optimal channel selection

Huynh‐The

Baños

Lee

et al. 2016

Expert Systems with Applications

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“…Fingerprint generation produces the fingerprint code to be embedded into media content. Fingerprint embedding/detection means to embed or detect the fingerprint code, which is based on watermark embedding/detection [7,28,31]. Thus, fingerprint's robustness against such signal processing operations as recompression, additive noise, filtering, etc.…”

Section: Digital Fingerprintingmentioning

confidence: 99%

Lightweight secure multimedia distribution based on homomorphic operations

Lian

Chen²

2010

Telecommun Syst

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A secure media distribution scheme is proposed in this paper, which distributes different media copy to different customer in a secure and efficient manner and is able to trace illegal redistribution. At the sender side, media data are scrambled with a random sequence under the control of a secret key. At the receiver side, the scrambled media data are descrambled with a new random sequence under the control of a unique customer code besides the secret key. The scrambling and descrambling strength can be adjusted by the parameter named quantization factor. Generally, the bigger factor is used in scrambling and the smaller one is used in descrambling. After descrambling, the recovered media copy that contains a unique customer sequence, named fingerprint, is slightly different from the original one. This difference is imperceptible to human eyes, while can be detected by computers and used to trace the redistribution of the media copy. Additionally, the unique customer sequence is produced by the collusion-resistant code, which can survive the attacks that combine several copies by averaging. The scheme's performances, including security, imperceptibility, robustness and efficiency, are analyzed and tested in detail. Its good performances make it a suitable choice for lightweight secure multimedia distribution, such as music download, image sharing, live TV or video-on-demand, etc., especially over Mobile terminals.S. Lian ( ) France Telecom R&D (Orange Labs) Beijing,

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“…In addition to the template, support vector machines (SVMs) have also been incorporated to obtain geometrical parameters. For example, a number of recently developed schemes [25][26][27][28] generate patterns, such as the inserted template and Zernike moments, from geometrically attacked watermarked images. These patterns are then input to the SVM to train the classification model, and finally, the trained model is used to predict the geometrical parameters of the to-be-checked image.…”

Section: Introductionmentioning

confidence: 99%

Counteracting geometrical attacks on robust image watermarking by constructing a deformable pyramid transform

Wang

Zhang

2013

EURASIP J. Adv. Signal Process.

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Counteracting geometrical attacks remains one of the most challenging problems in robust watermarking. In this paper, we resist rotation, scaling, and translation (RST) by constructing a kind of deformable pyramid transform (DPT) that is shift-invariant, steerable, and scalable. The DPT is extended from a closed-form polar-separable steerable pyramid transform (SPT). The radial component of the SPT's basis filters is taken as the kernel of the scalable basis filters, and the angular component is used for the steerable basis filters. The shift-invariance is inherited from the SPT by retaining undecimated high-pass and band-pass subbands. Based on the designed DPT, we theoretically derive interpolation functions for steerability and scalability and synchronization mechanisms for translation, rotation, and scaling. By exploiting the preferable characteristics of DPT, we develop a new template-based robust image watermarking scheme that is resilient to RST. Translation invariance is achieved by taking the Fourier magnitude of the cover image as the DPT's input. The resilience to rotation and scaling is obtained using the synchronization mechanisms for rotation and scaling, for which an efficient template-matching algorithm has been devised. Extensive simulations show that the proposed scheme is highly robust to geometrical attacks, such as RST, cropping, and row/column line removal, as well as common signal processing attacks such as JPEG compression, additive white Gaussian noise, and median filtering.

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Color image watermark extraction based on support vector machines

Cited by 134 publications

References 20 publications

Improving digital image watermarking by means of optimal channel selection

Improving digital image watermarking by means of optimal channel selection

Lightweight secure multimedia distribution based on homomorphic operations

Counteracting geometrical attacks on robust image watermarking by constructing a deformable pyramid transform

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