Design of robust image watermarking technique based on shearlet transform and QR matrix decomposition

Subramani, Sivakannan; Narayanan, Lidiya; Kamalanathan, C.; Panda, Sunitha; Sreenivas, Bhaskara

doi:10.1080/09720502.2020.1721710

Cited by 3 publications

(3 citation statements)

References 7 publications

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“…Mardanpour et al designed a watermarking based on shearlet transform and bidiagonal singular value decomposition [29], which was robust to most of image attacks, including rotation and translation. Subramani et al presented a robust watermarking algorithm based on shearlet transform and QR matrix decomposition for resisting various attacks [30]. Wang et al presented a zero-watermarking algorithm based on nonsubsampled pyramid decomposition (NSPD) and discrete cosine transform (DCT) but was not robust to combined image attacks [31].…”

Section: Introductionmentioning

confidence: 99%

A Novel HDR Image Zero-Watermarking Based on Shift-Invariant Shearlet Transform

Shi

Luo

Huang

et al. 2021

Security and Communication Networks

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In this paper, a novel high dynamic range (HDR) image zero-watermarking algorithm against the tone mapping attack is proposed. In order to extract stable and invariant features for robust zero-watermarking, the shift-invariant shearlet transform (SIST) is used to transform the HDR image. Firstly, the HDR image is converted to CIELAB color space, and the L component is selected to perform SIST for obtaining the low-frequency subband containing the robust structure information of the image. Secondly, the low-frequency subband is divided into nonoverlapping blocks, which are transformed by using discrete cosine transform (DCT) and singular value decomposition (SVD) to obtain the maximum singular values for constructing a binary feature image. To increase the watermarking security, a hybrid chaotic mapping (HCM) is employed to get the scrambled watermark. Finally, an exclusive-or operation is performed between the binary feature image and the scrambled watermark to compute robust zero-watermark. Experimental results show that the proposed algorithm has a good capability of resisting tone mapping and other image processing attacks.

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Section: Introductionmentioning

confidence: 99%

A Novel HDR Image Zero-Watermarking Based on Shift-Invariant Shearlet Transform

Shi

Luo

Huang

et al. 2021

Security and Communication Networks

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show abstract

“…Therefore, some researchers put forward the multi-scale geometric analysis methods to develop an "optimal" representation method for high-dimensional data. The multi-scale geometric analysis methods applied in digital watermarking include ridgelet transform [13,14], contourlet transform [15][16][17], bandelet transform [18], shearlet transform [19][20][21][22][23] and so on. Among them, discrete shearlet transform (DST) [24] is a new multi-scale geometric transformation proposed in 2008.…”

Section: Introductionmentioning

confidence: 99%

“…It overcomes the imperfections of limited direction selection of wavelet transform and anisotropy of base function, and has good directionality and multi-resolution representation for images. DST is widely used in image processing, and the research of digital image watermarking based on DST is gradually increasing in recent years [21][22][23]. However, most of the existing DST-based schemes have high computational complexity, which is not conducive to real-time embedding of the watermarks.…”

Section: Introductionmentioning

confidence: 99%

An entropy-based image watermarking scheme by improving robustness in shearlet and wavelet domain

Zhuang

Zhou

Liu

2020

Preprint

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The existing robust digital watermarking schemes mainly embed information in the fixed positions or with fixed embedding strength, while seldom considering adaptive adjustment based on the characteristics of the cover image, thus it reduces the imperceptibility and the robustness of watermarking. Aiming at these issues, we propose a scheme which can be able to dynamically adjust the watermark embedding position and strength. Therefore, it guarantees the trade-off between robustness and imperceptibility. The appropriate embedding positions are dynamically selected for the watermark by comparing the image entropy, and the embedding strength of the image blocks are adaptively adjusted according to the entropy and the Just Noticeable Difference (JND) model in the Human Visual System (HVS)-based wavelet domain. Singular Value Decomposition (SVD) is performed on the image blocks to ensure the resistant ability of geometric attacks. The experimental results show that the scheme has good imperceptibility as well as strong robustness against various attacks. The robustness in common attacks is improved by at least 1% compared with similar watermarking schemes.

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