A blind color digital image watermarking method based on image correction and eigenvalue decomposition

Liu, Decheng; Su, Qingtang; Yuan, Zihan; Zhang, Xueting

doi:10.1016/j.image.2021.116292

Cited by 28 publications

(27 citation statements)

References 30 publications

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“…According to different extraction methods of watermarks, it can be divided into nonblind watermarking 24 and blind watermarking. [25][26][27][28][29][30][31][32][33][34][35][36][37] According to different embedding domains of watermarks, it can be divided into spatial-domain watermarking 27,32,34 and frequency-domain watermarking. 25,26,[28][29][30][31]33,[35][36][37] Because carrier information is difficult to be obtained in practical applications, blind watermarking is more extensive and has higher practical value.…”

Section: Related Workmentioning

confidence: 99%

“…[25][26][27][28][29][30][31][32][33][34][35][36][37] According to different embedding domains of watermarks, it can be divided into spatial-domain watermarking 27,32,34 and frequency-domain watermarking. 25,26,[28][29][30][31]33,[35][36][37] Because carrier information is difficult to be obtained in practical applications, blind watermarking is more extensive and has higher practical value. In addition, frequency-domain watermarking is more robust than spatial-domain watermarking, although its operation is relatively complex, the relative running time is also shortening with the upgrade of hardware.…”

Section: Related Workmentioning

confidence: 99%

“…There are many algorithms used in digital watermarking schemes, such as discrete cosine transform (DCT), 25,26 discrete wavelet transform, 27,28 Schur decomposition, 29,30 eigenvalue decomposition (EVD), 31 singular value decomposition (SVD), 32,33 and other transforms. [34][35][36][37] Yuan et al 25 proposed a DCT-based color image watermarking scheme.…”

Section: Related Workmentioning

confidence: 99%

“…To make a more objective comparison with other schemes, we use the widely recognized evaluation metrics, among which invisibility is evaluated with peak signal-to-noise ratio (PSNR) 31 and structural similarity index metric (SSIM) 32 and robustness is evaluated with normalized cross-correlation (NC), 37 and bit error rate (BER). 35,54 The definitions of these evaluation metrics are shown in Equations ( 7)-( 10):…”

Section: Data Set and Metricsmentioning

confidence: 99%

“…As shown in Table 2, the watermarked image without attack is tested to observe whether the watermark can be extracted Proposed scheme Peppers 1.00000/0.00000 1.00000/0.00000 0.98742/0.01274 0.99982/0.00309 1.00000/0.00000 Barbara 0.99997/0.00020 1.00000/0.00000 0.99776/0.00232 0.99984/0.00041 1.00000/0.00000 Sailboat 1.00000/0.00000 1.00000/0.00000 0.99900/0.00146 0.99969/0.00049 1.00000/0.00000 Athens 1.00000/0.00000 1.00000/0.00000 1.00000/0.00000 1.00000/0.00000 1.00000/0.00000 Bluheron 1.00000/0.00000 1.00000/0.00000 0.99998/0.00004 1.00000/0.00000 1.00000/0.00000 Bobcat 1.00000/0.00000 1.00000/0.00000 0.99973/0.00037 1.00000/0.00000 1.00000/0.00000 F16 1.00000/0.00000 1.00000/0.00000 0.99992/0.00004 1.00000/0.00000 1.00000/0.00000 House 1.00000/0.00000 1.00000/0.00000 1.00000/0.00000 1.00000/0.00000 1.00000/0.00000 without error in this case, and compared with other schemes. It can be observed from Table 2 that only the proposed scheme and scheme 27 can perfectly extract the complete watermark, while other schemes 25,29,31 cannot correctly extract all watermark bits from all selected images.…”

Section: Invisibility Data and Analysismentioning

confidence: 99%

See 4 more Smart Citations

A watermarking scheme for dual‐color images based on URV decomposition and image correction

Sun

Zhang

et al. 2022

Int J of Intelligent Sys

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In view of the fact that many watermarking schemes cannot well adapt to the occasion of image copyright protection with a large amount of information, and the copyright protection of color image is facing severe challenges, a dual-color image watermarking scheme based on URV decomposition (URVD) and image correction is designed in this paper. The twodimensional Logistic-adjusted-Sine map is first used to generate two chaotic sequences for pixel-level scrambling and bit-level diffusion of the watermark image, and URVD is applied to watermarking scheme.After fully considering the relationship between image channels, the watermark is embedded into the maximum URVD coefficient by using quantization index modulation based on variable quantization steps. The greatest contribution of this paper is to propose a new image correction algorithm as a pretreatment of watermark extraction, which mainly includes fast detection of feature points, image correction, and sawtooth processing, and it solves some problems existing in image correction algorithms based on geometric characteristics. Experimental results show that the proposed scheme has good invisibility, strong robustness, and high security.

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Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Related Workmentioning

confidence: 99%

Section: Data Set and Metricsmentioning

confidence: 99%

Section: Invisibility Data and Analysismentioning

confidence: 99%

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A watermarking scheme for dual‐color images based on URV decomposition and image correction

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Zhang

et al. 2022

Int J of Intelligent Sys

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Dynamic chaos of imaging measurements for characterizing gas–liquid nonlinear flow behaviour in a metallurgical reactor stirred by top‐blown air

Yang,

Zhang,

Yang

et al. 2023

Can J Chem Eng

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A modern chaos detection strategy for imaging measurements is proposed in this work to quantify the thermal mixing state quality in a metallurgical reactor stirred by top‐blown air. Specifically, the improved C‐C algorithm is proposed to reconstruct the phase space of the nonlinear time series of the bubble characteristics under thermal conditions. Moreover, a chaos decision tree algorithm is introduced to extract the chaotic mixing characteristics of the thermal two‐phase mixing system for the first time. Experimental and calculated results show that all the possible mixing states of the mixing system are visualized by reconstructing the phase space with the help of the visualization technique of the thermal gas–liquid two‐phase flow. It is found that the attractor of the nonlinear time series of bubbles exhibited more serious variations while the chosen working condition was optimal. Furthermore, the obtained parameter represents the chaotic characteristics of the thermal gas–liquid two‐phase mixing system which has chaotic characteristics under various experimental conditions. Hence, the new strategy would be helpful and effective in beneficial exploration for understanding the nonlinear intensification mechanism of metallurgical thermal processes.

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An Optimized Deep Fusion Convolutional Neural Network-Based Digital Color Image Watermarking Scheme for Copyright Protection

Rai

Goyal

Pawar

2023

Circuits Syst Signal Process

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A blind color digital image watermarking method based on image correction and eigenvalue decomposition

Cited by 28 publications

References 30 publications

A watermarking scheme for dual‐color images based on URV decomposition and image correction

A watermarking scheme for dual‐color images based on URV decomposition and image correction

Dynamic chaos of imaging measurements for characterizing gas–liquid nonlinear flow behaviour in a metallurgical reactor stirred by top‐blown air

An Optimized Deep Fusion Convolutional Neural Network-Based Digital Color Image Watermarking Scheme for Copyright Protection

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