Robust medical image watermarking technique using integer wavelet transform and shearlet transform with BSVD

Author(s):  
J. Bennilo Fernandes ◽  
N. Prabakaran ◽  
G. Thirugnanam ◽  
Sivakannan Subramani
2019 ◽  
Vol 8 (2S11) ◽  
pp. 3567-3570

Health Informatics systems preserves the patient’s digital records. Two techniques that help in this process are watermarking and encryption. In this paper a reversible image watermarking scheme with logistic encryption is presented. The reversible watermarking is utilizing the concept of integer wavelet transform. The image is divided into sub bands and then the binary data is hidden in these sub bands. The watermarked wavelet sub bands are passed through logistic encryption module which scrambles the coefficients. These coefficients are then sent to inverse wavelet transform for image reconstruction. This process helps encrypt the image though spectral scrambling, thus resulting in faster and better encryption. The proposed algorithm outperforms the exiting algorithms in terms of execution time and the level of encryption.


2018 ◽  
Vol 8 (9) ◽  
pp. 1857-1864
Author(s):  
V. Kavitha ◽  
C. Palanisamy ◽  
T. Sureshkumar

A hybrid watermarking technique using wavelet and Shearlet transform is proposed in this paper. The DWT variant Daub4 transform model is applied on the medical image to generate different frequency sub-bands. The HL and LH sub-bands which are resistant to compression attacks are chosen for second level of transformation, a DST variant 'Cone adaptive Shearlet transform' technique is used to calculate the Shearlet coefficients of the selected sub-bands. By using SVD on the Shearlet coefficients, the singular values of watermark image are embedded into the singular values of the host image. The proposed approach is examined using three medical images and a watermark image. The experimental results show that the proposed approach is robust against JPEG compression, Geometric and Noise attacks.


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