A Zero Watermarking Scheme for Encrypted Medical Images Based on Tetrolet-DCT

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

Medical Imaging 2018: Imaging Informatics for Healthcare, Research, and Applications ◽

10.1117/12.2292852 ◽

2018 ◽

Cited By ~ 4

Author(s):

Xiyao Liu ◽

Jieting Lou ◽

Yifan Wang ◽

Jingyu Du ◽

Yan Chen ◽

...

Keyword(s):

Local Binary Pattern ◽

Medical Images ◽

Zero Watermarking ◽

Watermarking Scheme

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Local quaternion polar harmonic Fourier moments-based multiple zero-watermarking scheme for color medical images

Knowledge-Based Systems ◽

10.1016/j.knosys.2020.106568 ◽

2020 ◽

pp. 106568

Author(s):

Zhiqiu Xia ◽

Xingyuan Wang ◽

Chunpeng Wang ◽

Bin Ma ◽

Mingxu Wang ◽

...

Keyword(s):

Medical Images ◽

Multiple Zero ◽

Zero Watermarking ◽

Watermarking Scheme

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An SVD based zero watermarking scheme for authentication of medical images for tele-medicine applications

2016 39th International Conference on Telecommunications and Signal Processing (TSP) ◽

10.1109/tsp.2016.7760932 ◽

2016 ◽

Cited By ~ 8

Author(s):

Anushikha Singh ◽

Namrata Raghuvanshi ◽

Malay Kishore Dutta ◽

Radim Burget ◽

Jan Masek

Keyword(s):

Medical Images ◽

Zero Watermarking ◽

Watermarking Scheme

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A QR Code Based Zero-Watermarking Scheme for Authentication of Medical Images in Teleradiology Cloud

Computational and Mathematical Methods in Medicine ◽

10.1155/2013/516465 ◽

2013 ◽

Vol 2013 ◽

pp. 1-16 ◽

Cited By ~ 31

Author(s):

V. Seenivasagam ◽

R. Velumani

Keyword(s):

Medical Image ◽

Medical Images ◽

Patient Data ◽

Qr Code ◽

Patient Records ◽

Patient Identification ◽

Geometric Attacks ◽

Zero Watermarking ◽

Value Decomposition ◽

Watermarking Scheme

Healthcare institutions adapt cloud based archiving of medical images and patient records to share them efficiently. Controlled access to these records and authentication of images must be enforced to mitigate fraudulent activities and medical errors. This paper presents a zero-watermarking scheme implemented in the composite Contourlet Transform (CT)—Singular Value Decomposition (SVD) domain for unambiguous authentication of medical images. Further, a framework is proposed for accessing patient records based on the watermarking scheme. The patient identification details and a link to patient data encoded into a Quick Response (QR) code serves as the watermark. In the proposed scheme, the medical image is not subjected to degradations due to watermarking. Patient authentication and authorized access to patient data are realized on combining a Secret Share with the Master Share constructed from invariant features of the medical image. The Hu’s invariant image moments are exploited in creating the Master Share. The proposed system is evaluated with Checkmark software and is found to be robust to both geometric and non geometric attacks.

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Dual Zero-Watermarking Scheme for Two-Dimensional Vector Map Based on Delaunay Triangle Mesh and Singular Value Decomposition

Applied Sciences ◽

10.3390/app9040642 ◽

2019 ◽

Vol 9 (4) ◽

pp. 642 ◽

Cited By ~ 3

Author(s):

Xu Xi ◽

Xinchang Zhang ◽

Weidong Liang ◽

Qinchuan Xin ◽

Pengcheng Zhang

Keyword(s):

Singular Value Decomposition ◽

Singular Value ◽

Two Dimensional ◽

Triangle Mesh ◽

Vector Map ◽

Vector Maps ◽

Feature Sequence ◽

Zero Watermarking ◽

Value Decomposition ◽

Watermarking Scheme

Digital watermarking is important for the copyright protection of electronic data, but embedding watermarks into vector maps could easily lead to changes in map precision. Zero-watermarking, a method that does not embed watermarks into maps, could avoid altering vector maps but often lack of robustness. This study proposes a dual zero-watermarking scheme that improves watermark robustness for two-dimensional (2D) vector maps. The proposed scheme first extracts the feature vertices and non-feature vertices of the vector map with the Douglas-Peucker algorithm and subsequently constructs the Delaunay Triangulation Mesh (DTM) to form a topological feature sequence of feature vertices as well as the Singular Value Decomposition (SVD) matrix to form intrinsic feature sequence of non-feature vertices. Next, zero-watermarks are obtained by executing exclusive disjunction (XOR) with the encrypted watermark image under the Arnold scramble algorithm. The experimental results show that the scheme that synthesizes both the feature and non-feature information improves the watermark capacity. Making use of complementary information between feature and non-feature vertices considerably improves the overall robustness of the watermarking scheme. The proposed dual zero-watermarking scheme combines the advantages of individual watermarking schemes and is robust against such attacks as geometric attacks, vertex attacks and object attacks.

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