Discriminative and robust zero-watermarking scheme based on completed local binary pattern for authentication and copyright identification of medical images

Liu, Xiyao; Lou, Jieting; Wang, Yifan; Du, Jingyu; Zou, Beiji; Chen, Yan

doi:10.1117/12.2292852

Cited by 11 publications

(12 citation statements)

References 12 publications

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“…From the chart at Fig. 5, it is clear that the individual methods (except for zero CLBP [10]) can relatively correctly extract the watermark, even if the image is largely modified. In case of unauthorized modification of the secured image, it is, therefore, possible to prove its authorship by using suitable methods of zero watermarking.…”

Section: Resultsmentioning

confidence: 99%

“…The next method selected is "Discriminative and robust zero-watermarking scheme based on the completed local binary pattern for authentication and copyright identification of medical images" [10]. This method uses a low-pass Gauss filter, vectors with pixel approximation, and the completed local binary pattern method [11].…”

Section: Reference Zero-watermarking Methodsmentioning

confidence: 99%

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Zero Watermarking: Critical Analysis of Its Role in Current Medical Imaging

et al. 2021

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Medical image data plays a critical role in health care today. Whatever the context of image processing (research and educational activities, diagnostic or forensic purposes, etc.), they are supposed to be treated as highly sensitive. Unfortunately, currently available image-processing tools also enable very sophisticated malicious modification of their content.This paper is focused on the assessment of the effectiveness of selected so-called zero watermarking methods (ones that do not cause any modification of an image sample), in the protection of the integrity, and proving authorship, of these medical image studies. We have studied many zero watermarking methods and selected one representative from each type of known algorithms for comparison.We have conducted a series of simulations over a huge research database of anonymized medical image studies (patient examinations).

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Section: Resultsmentioning

confidence: 99%

Section: Reference Zero-watermarking Methodsmentioning

confidence: 99%

Zero Watermarking: Critical Analysis of Its Role in Current Medical Imaging

et al. 2021

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“…Xia et al [37,38] propose two lossless watermarking system for copyright protection of color medical image, which uses quaternion polar harmonic transforms (QPHTs) and Precise Quaternion polar harmonic fourier moments (PQPHFM) respectively. To improve the feature distinguishability, Liu et al [39] utilize the completed local binary pattern (CLBP) operator to extract the content-based features of medical images. Zou et al [40] design a zero-watermarking scheme by using the feature based on the gray scale variations in fan-ring partition.…”

Section: The Related Workmentioning

confidence: 99%

“…Three categories of digital watermarking schemes are suitable for authenticity and copyright protection of medical images, which are ROI lossless watermarking [10][11][12][13][14][15][16][17][18]; reversible watermarking [19][20][21][22][23][24][25][26][27][28][29]; and zero-watermarking [30][31][32][33][34][35][36][37][38][39][40]. ROI lossless watermarking schemes embed watermark into medical images while keeping their ROI regions distortion-free to minimize the bias on medical diagnosis.…”

Section: Introductionmentioning

confidence: 99%

A novel zero-watermarking scheme with enhanced distinguishability and robustness for volumetric medical imaging

Liu

Sun

Wang³

et al. 2021

Signal Processing: Image Communication

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“…Zero-watermarking schemes [20]- [27] do not modify the original images but generate and store the ownership shares of medical images, which indicates the associations between the image features and the watermark information, for medical image protection. Because these associations (ownership shares) are well kept during the whole protection process, zero-watermarking can provide continuous protection of medical images and avoid any possible dispute.…”

Section: Introductionmentioning

confidence: 99%

A Novel Hybrid Reversible-Zero Watermarking Scheme to Protect Medical Image

Dai

Lian

et al. 2022

IEEE Access

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The verification of copyright and authenticity for medical images is critical in telemedical applications. Watermarking is a key technique for protecting medical images and can be mainly divided into three categories: region of interest (ROI) lossless watermarking, reversible watermarking and zerowatermarking. However, ROI lossless watermarking causes biases on diagnosis. Reversible watermarking can hardly provide a continuous verification function and may face verification disputes after image recovering. Zero-watermarking requires third-party storage which may cause additional security problems. To address these issues, a hybrid reversible-zero watermarking (HRZW) is proposed in this paper to effectively combine the complementary advantages of reversible watermarking and zero-watermarking. In our scheme, a novel hybrid structure is designed including a zero-watermarking component and a reversible watermarking component. In the first component, ownership share is generated by mapping nearest neighbor grayscale residual (NNGR) based features and watermark information. In the second component, the generated ownership share is embedded reversibly based on Slantlet Transform, Singular Value Decomposition and Quantization Index Modulation (SLT-SVD-QIM). Experimental results demonstrate that our proposed scheme not only yields remarkable watermarking imperceptibility, distinguishability and robustness, but also provides continuous verification function without any dispute or third-party storage, which outperforms existing watermarking schemes for medical images.

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Discriminative and robust zero-watermarking scheme based on completed local binary pattern for authentication and copyright identification of medical images

Cited by 11 publications

References 12 publications

Zero Watermarking: Critical Analysis of Its Role in Current Medical Imaging

Zero Watermarking: Critical Analysis of Its Role in Current Medical Imaging

A novel zero-watermarking scheme with enhanced distinguishability and robustness for volumetric medical imaging

A Novel Hybrid Reversible-Zero Watermarking Scheme to Protect Medical Image

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