A robust blind watermarking method using quantization of distance between wavelet coefficients

Sahraee, Mohammad Javad; Ghofrani, Sedigheh

doi:10.1007/s11760-011-0269-x

Cited by 18 publications

(29 citation statements)

References 9 publications

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“…At the same time, the SSIM is also higher than the results in literature [22]. From Table 6, it is easy to note that the proposed algorithm outperforms that in literature [21] in terms of same payload capacity with good SSIM and PSNR values. The results presented here demonstrate that the proposed algorithm significantly increases the quality of stego images.…”

Section: Algorithm Performance Evaluationmentioning

confidence: 57%

“…Compared with the algorithm in literature [21], the highest PSNR of the above four original carrier images in this algorithm is 49.34 dB. This means that this algorithm has better invisibility.…”

Section: Algorithm Performance Evaluationmentioning

confidence: 72%

“…Sahraee et al [21] proposed a robust blind watermarking algorithm based on quantization of distance among wavelet coefficients for copyright protection. Wavelet coefficients are divided into some blocks, and the first, second, and third maximum coefficients in each block are obtained.…”

Section: Related Researchmentioning

confidence: 99%

“…The watermark embedding is carried out by this algorithm and algorithm in literature [21], respectively. The PSNR and SSIM are shown in Table 6 (the average of data taken 20 tests).…”

Section: Algorithm Performance Evaluationmentioning

confidence: 99%

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Adaptive reversible image watermarking algorithm based on IWT and level set

Zhang

Xiao

et al. 2017

EURASIP J. Adv. Signal Process.

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In order to improve the robustness, imperceptibility, and anti-malicious extraction capability of reversible image watermarking, an adaptive reversible image watermarking algorithm based on IWT and level set is proposed in this paper. Firstly, the stable edge profile is extracted by using the Laplace operator and the level set methods. Secondly, the unit circle in the stable edge profile is determined. Finally, the inscribed square area of the determinate unit circle is divided into non-overlapping blocks. Each sub-block is performed by IWT, and the HVS is used to embed the watermark adaptively. The simulation results show that the algorithm has good invisibility and can resist various attacks. The algorithm not only has strong robustness but also can lossless recover the original image.

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Section: Algorithm Performance Evaluationmentioning

confidence: 57%

Section: Algorithm Performance Evaluationmentioning

confidence: 72%

Section: Related Researchmentioning

confidence: 99%

“…The watermark embedding is carried out by this algorithm and algorithm in literature [21], respectively. The PSNR and SSIM are shown in Table 6 (the average of data taken 20 tests).…”

Section: Algorithm Performance Evaluationmentioning

confidence: 99%

See 2 more Smart Citations

Adaptive reversible image watermarking algorithm based on IWT and level set

Zhang

Xiao

et al. 2017

EURASIP J. Adv. Signal Process.

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“…An important application of watermarking is the copyright protection of digital content [31,51,66,85,102,108,113]. Hence, the embedded information should be robust against intentional attacks that try to remove or change the watermark [5,8,26,47,49,73,74,81,88,106].…”

Section: Introductionmentioning

confidence: 99%

Data Hiding Schemes: A Survey

Ali¹,

Ahn²,

Pant³

2016

Gate to Computer Science and Research

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Data hiding is the process of hiding an amount of data, called secret message or watermark, into a cover media that may be audio, video, or image signal, in an imperceptible way for different purposes. Due to the advances in generation, storage, and communication technology of digital media, the necessity and importance of data hiding has drawn the attention of many researchers all over the world resulting in a lot of variants of data hiding scheme. This chapter provides a detailed review of the basic concepts of data hiding and a survey of its major variants developed so far. The chapter classifies the data hiding schemes based on several aspects of data hiding comprising artificial intelligence. Furthermore, the chapter also provides the recommendations to the interested users for further research. This review may be a useful insight and a good source for the users who are interested in the application of artificial intelligence in data hiding.

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Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform

Hamidi

Haziti

Cherifi

et al. 2018

Multimed Tools Appl

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In this paper, a robust blind image watermarking method is proposed for copyright protection of digital images. This hybrid method relies on combining two well-known transforms that are the discrete Fourier transform (DFT) and the discrete cosine transform (DCT). The motivation behind this combination is to enhance the imperceptibility and the robustness. The imperceptibility requirement is achieved by using magnitudes of DFT coefficients while the robustness improvement is ensured by applying DCT to the DFT coefficients magnitude. The watermark is embedded by modifying the coefficients of the middle band of the DCT using a secret key. The security of the proposed method is enhanced by applying Arnold transform (AT) to the watermark before embedding. Experiments were conducted on natural and textured images. Results show that, compared with state-of-the-art methods, the proposed method is robust to a wide range of attacks while preserving high imperceptibility.

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A robust blind watermarking method using quantization of distance between wavelet coefficients

Cited by 18 publications

References 9 publications

Adaptive reversible image watermarking algorithm based on IWT and level set

Adaptive reversible image watermarking algorithm based on IWT and level set

Data Hiding Schemes: A Survey

Hybrid blind robust image watermarking technique based on DFT-DCT and Arnold transform

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