Comparison of four different digital watermarking techniques

Song, Yu; Tan, Tieniu

doi:10.1109/icosp.2000.891678

Cited by 9 publications

(4 citation statements)

References 7 publications

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“…(a) Gaussian white noise and pepper-salt-noise (b) [3,3] and [5,5] Fig.3, watermarking image cannot be well extracted from the embedded image when the attack is serious. The robustness of noise and compression is the best.…”

Section: Resultsmentioning

confidence: 99%

“…In general, we can classify digital watermark into two classes depending on the domain of watermark embedding, i.e., the spatial domain and the transform domain, where the properties of the underlying domain can be exploited. Previous works have shown that the transform domain scheme is typically more robust to noise, common image processing, and compression when compared with the spatial transform scheme [1]- [3]. According to the need for original data during the watermark detection process, digital watermark can be also classified into private and public (or blind) algorithms [4].…”

Section: Introductionmentioning

confidence: 99%

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Digital Image Watermarking Algorithm with Double Encryption by Arnold Transform and Logistic

Zhang

Wang

2008

2008 Fourth International Conference on Networked Computing and Advanced Information Management

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A new kind of watermark-inserting and detecting algorithm based on stationary wavelet transform was proposed. Firstly the digital watermarking was transformed randomly (Arnold transformation), then encrypted by logistic. The encrypted watermarking was transformed to one-dimensional row vector, and the pixel value was sorted. The coefficient of one-dimensional of primitive image of stationary wavelet transformation was sorted too, then inserted sorted watermarking to the sorted low frequency, and turned it to two dimension data. Then the image is reconstructed with coefficients of high-frequency. The process of watermarking inserted is the inversion of the process of watermarking embedded. Finally withdraw the watermarking and obtained the primitive watermarking after the anti-Arnold transformation. This algorithm chose the appropriate position to insert the watermarking. Experimental results indicate that this algorithm not only enables the watermarking to have the very good invisibility, but also makes the watermarking have very strong robustness to the general image attacks, such as noise, filter, rotation, compression and so on..Fourth International Conference on Networked Computing and Advanced Information Management 978-0-7695-3322-3/08 $25.00

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Digital Image Watermarking Algorithm with Double Encryption by Arnold Transform and Logistic

Zhang

Wang

2008

2008 Fourth International Conference on Networked Computing and Advanced Information Management

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“…The watermark is embedded to the large wavelet coefficients at high and middle frequency bands of the image's DWT. Song et al [3] gave the comparison of difference watermarking techniques by focus on the evaluation of robustness and visual quality property. S. H. Yang [4] has concentrated on the evaluation of biorthogonal wavelets using spread-spectrum watermarking framework.…”

Section: Introductionmentioning

confidence: 99%

The effects of transformation methods in image watermarking

Kumsawat

Attakitmongcol

Srikaew³

2004

2004 IEEE Region 10 Conference TENCON 2004.

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Image watermarking provides copyright protection and becomes very crucial for ownership verification of digital images. In this paper, we investigate the effects of different types of transformations in image watermarking algorithm including discrete cosine transform, discrete wavelet transform, and discrete multiwavelet transform. We also provide a brief overview of the multiwavelet transform since it is relatively new as compared to the other transforms. The efficiencies of these transforms are discussed by evaluating watermarked image quality and robustness of the watermark. Experimental results show that the multiwavelet transform method is superior to other two methods in term of image quality.

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“…In general, digital watermarking can be classified into two classes depending on the domain of watermark embedding, i.e., the spatial and the transform domain. Previous works have shown that the transform domain scheme is typically more robust to noise, common image processing, and compression, compared to the spatial transform scheme [1]- [3].…”

Section: Introductionmentioning

confidence: 99%

Design and Development of Ant Colony System Algorithms for Block-Based DCT Watermarking

Pokudom

Rangsanseri

2013

Journal of Signal Processing

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In DCT-based image watermarking, the optimal embedding of the watermark into some of the selected coefficients should depend both on the image content and the trade-off between watermark imperceptibility and watermark robustness. To deal with the image content, an image block classification was applied on each 8×8 DCT block. For each region type, Ant Colony System Algorithms were designed and developed to search for the optimal trade-off between watermark imperceptibility and watermark robustness. The resulting optimal frequency bands and embedding strength for watermark embedding were therefore dependent on the region type. The experimental results show that the proposed scheme yielded a watermark that was invisible and robust against various image manipulations. The effectiveness of this algorithm was also compared with those of previous studies.

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Comparison of four different digital watermarking techniques

Cited by 9 publications

References 7 publications

Digital Image Watermarking Algorithm with Double Encryption by Arnold Transform and Logistic

Digital Image Watermarking Algorithm with Double Encryption by Arnold Transform and Logistic

The effects of transformation methods in image watermarking

Design and Development of Ant Colony System Algorithms for Block-Based DCT Watermarking

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