Distinguishable zero-watermarking scheme with similarity-based retrieval for digital rights Management of Fundus Image

Zou, Beiji; Du, Jingyu; Liu, Xiyao; Wang, Yifan

doi:10.1007/s11042-018-5995-4

Cited by 21 publications

(25 citation statements)

References 27 publications

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“…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%

“…In this section, the effectiveness of ring-statistics calculation (RSC) and intra-slice variations (IASV), which are two of the key components of our scheme, are evaluated The S1 deploys the variations between average values of fan-ring partitions as in [40] instead of using RSC for feature extraction, while the S2 deploys ring-statistics without IASV for feature extraction.…”

Section: Ablation Studymentioning

confidence: 99%

“…In this section, we compare our proposed scheme with five state-of-the-art zerowatermarking schemes to evaluate the watermarking performance in terms of the distinguishability and robustness. They are named Hu-6 based Scheme [35], QPHTs based Scheme [37], Fan-ring based Scheme [40], 3D-DCT based Scheme [31] and…”

Section: Comparisons With Other State-of-the-art Zero-watermarking Sc...mentioning

confidence: 99%

“…Hu-6 based Scheme [35] 0.0409 0.0000 QPHTs based Scheme [37] 0.1790 0.0498 Fan-ring based Scheme [40] 0.4187 0.2213 3D-DCT based Scheme [31] 0.3859 0.0469 3D-DTCWT based Scheme [33] 0.4611 0.0313 Proposed Scheme 0.4870 0.1992 3D-DTCWT based Scheme [33].…”

Section: Mri Imagesmentioning

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%

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

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Section: The Related Workmentioning

confidence: 99%

Section: Ablation Studymentioning

confidence: 99%

Section: Comparisons With Other State-of-the-art Zero-watermarking Sc...mentioning

confidence: 99%

Section: Mri Imagesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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

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Learnable Color Image Zero-Watermarking Based on Feature Comparison

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A novel zero-watermarking algorithm based on robust statistical features for natural images

et al. 2022

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In this paper, we develop a robust image zero-watermarking algorithm based on multiple circular statistical features. First of all, we detect stable feature points from the host image, and construct circular region partitions from the identified feature points, which contain the critical information of the host image. Second, the statistics and differences of circular region partitions are calculated, which contain both the local differences and the global information of the host image. Third, we apply discrete cosine transform (DCT) and singular value decomposition (SVD) in statistics and differences in order to construct the feature image. The stability of DCT and SVD further warrants the robustness of the algorithm. Moreover, Arnold transform is used to scramble the watermark image to enhance the security of the algorithm. Finally, we obtain the zero watermark by performing the exclusive-or (XOR) operation between the feature image and the scrambled watermark image, and the zero watermark is stored in the copyright authentication database for copyright authentication. Moreover, to combat geometric attacks, we develop a blind image correction algorithm without using the original image to accurately correct the attacked image. Numerous experiments and comparisons with the state-of-the-art (SOTA) watermarking algorithms confirm that the proposed algorithm affords good robustness against various attacks, such as filtering attacks, noise attacks, geometric attacks, and even a random combination of the above-stated attacks.

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Distinguishable zero-watermarking scheme with similarity-based retrieval for digital rights Management of Fundus Image

Cited by 21 publications

References 27 publications

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

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

Learnable Color Image Zero-Watermarking Based on Feature Comparison

A novel zero-watermarking algorithm based on robust statistical features for natural images

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