A Novel Block-based Watermarking Scheme Using the SVD Transform

Basso, Alessandro; Bergadano, Francesco; Cavagnino, Davide; Pomponiu, Victor; Vernone, Annamaria

doi:10.3390/a2010046

Cited by 33 publications

(10 citation statements)

References 47 publications

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“…Generally, watermark embedding on a block-by-block basis increases the ability of the watermark to survive attacks (Basso, Bergadano, Cavagnino, Pomponiu, & Vernone, 2009). The block-by-block SVD watermarking is employed by dividing the original image into blocks, and then the watermark is embedded in the SVs of the reflectance component of each block, separately.…”

Section: Block-by-block Svd Watermarking In the Homomorphic Domainmentioning

confidence: 99%

Homomorphic image watermarking with a singular value decomposition algorithm

Abdallah¹,

Ghazy²,

Kasban³

et al. 2014

Information Processing & Management

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Section: Block-by-block Svd Watermarking In the Homomorphic Domainmentioning

confidence: 99%

Homomorphic image watermarking with a singular value decomposition algorithm

Abdallah¹,

Ghazy²,

Kasban³

et al. 2014

Information Processing & Management

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“…The main idea behind SVD-based approaches is to apply the SVD to the whole cover image or, alternatively, to small blocks of it and then modify the singular values to embed the watermark [37]. In general, the strength of the embedded watermark can be controlled by a scaling factor.…”

Section: Related Workmentioning

confidence: 99%

An adaptive watermarking approach based on weighted quantum particle swarm optimization

Soliman

Hassanien

Onsi

2015

Neural Comput & Applic

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In this paper, we propose a novel optimal singular value decomposition (SVD)-based image watermarking approach that uses a new combination of weighted quantum particle swarm optimization (WQPSO) algorithm and a human visual system (HVS) model for both the hybrid discrete wavelet transform and discrete cosine transform (DCT). The proposed SVD-based watermarking approach initially decomposes the host image into subbands; afterwards, singular values of the DCT of the lower sub-band of the host image are quantized using a set of optimal quantization steps deduced from a combination of the WQPSO algorithm and the HVS model. To evaluate the performance of the proposed approach, we present tests on different images. The experimental results show that the proposed approach yields a watermarked image with good visual definition; at the same time, the embedded watermark was robust against a wide variety of common attacks, including JPEG compression, Gaussian noise, salt and pepper noises, Gaussian filters, median filters, image cropping, and image scaling. Moreover, the results of various experimental analyses demonstrated the superiority of the WQPSO approach over other optimization techniques, including classical PSO and QPSO in terms of local convergence speed, resulting in a better balance between global and local searches of the watermarking algorithm.

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“…The SVD of matrix A is defined by the operation A = U Σ V T , as shown in Figure 3 The SVD transform has been used in several audio watermarking algorithms [22][23][24][25][37][38][39]. The algorithms varied in the way the singular values were used in the watermarking process.…”

Section: Svd-based Audio Watermarkingmentioning

confidence: 99%

An imperceptible and robust audio watermarking algorithm

Al-Haj

2014

J AUDIO SPEECH MUSIC PROC.

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In this paper, we propose a semi-blind, imperceptible, and robust digital audio watermarking algorithm. The proposed algorithm is based on cascading two well-known transforms: the discrete wavelet transform and the singular value decomposition. The two transforms provide different, but complementary, levels of robustness against watermarking attacks. The uniqueness of the proposed algorithm is twofold: the distributed formation of the wavelet coefficient matrix and the selection of the off-diagonal positions of the singular value matrix for embedding watermark bits. Imperceptibility, robustness, and high data payload of the proposed algorithm are demonstrated using different musical clips.

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A Novel Block-based Watermarking Scheme Using the SVD Transform

Cited by 33 publications

References 47 publications

Homomorphic image watermarking with a singular value decomposition algorithm

Homomorphic image watermarking with a singular value decomposition algorithm

An adaptive watermarking approach based on weighted quantum particle swarm optimization

An imperceptible and robust audio watermarking algorithm

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