On the security of the schur-based watermarking schemes

Pomponiu, Victor; Cavagnino, Davide; Botta, Marco

doi:10.1109/icdsp.2015.7251862

Cited by 1 publication

(2 citation statements)

References 27 publications

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“…Schur decomposition is a decomposition method of a square matrix into unitary and upper triangular matrices [38,[40][41]. Let be a square matrix ×…”

Section: Schur Decompositionmentioning

confidence: 99%

“…They also used an objective evaluation function (OEF) and fruit fly optimization algorithm (FOA) to obtain the optimal scaling factor and optimal factor of the contradiction or trade-off between imperceptibility and robustness. While the other image watermarking schemes based on the other domains are proposed using lifting wavelet transform (LWT) [2,10,36,37], and Schur decomposition [38][39][40][41].…”

Section: Introduction and Related Workmentioning

confidence: 99%

See 1 more Smart Citation

Robustness Improvement Against a Non-Geometrical Attacks of Lifting SchemeBased Image Watermarking through Singular Value and Schur Decompositions

Marjuni¹,

Nurhayati²

2021

IJIES

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Image watermarking is a technique to embed a piece of information or data, which also can be an image, into the host or medium image for specific purposes, such as authentication, security, or copyright protection. A good image watermarking method should have a good perceptibility after adding the watermark. It should also robust against attacks and the watermark should be able to be recovered although the watermarked image has distorted. This paper presents the proposed lifting image watermarking scheme based on wavelet transform through singular value and Schur decomposition. This method is proposed to improve the perceptibility and the robustness of the image watermarking scheme, especially against non-geometrical attacks. The lifting scheme is performed by lifting wavelet transform to produce a better imperceptibility. The use of singular value decomposition is used to increase the intactness of the embedded watermark from the distorted image, which is performed on the triangular matrix of lowfrequency sub-band produced by Schur decomposition. In perceptibility performance, experimental results show that the proposed method could produce a watermarked image very close to the host image with more than 99% of similarity level. In robustness performance, the proposed method can recover the embedded watermark even though the watermarked image has been distorted by non-geometrical attacks with more than 90% of normalized correlation average.

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“…Schur decomposition is a decomposition method of a square matrix into unitary and upper triangular matrices [38,[40][41]. Let be a square matrix ×…”

Section: Schur Decompositionmentioning

confidence: 99%