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Application of a novel image moment computation in X‐ray and MRI image watermarking
Author(s) -
Singh Manoj K.,
Kumar Sanoj,
Ali Musrrat,
Saini Deepika
Publication year - 2021
Publication title -
iet image processing
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.401
H-Index - 45
eISSN - 1751-9667
pISSN - 1751-9659
DOI - 10.1049/ipr2.12052
Subject(s) - watermark , digital watermarking , computation , moment (physics) , artificial intelligence , rotation (mathematics) , computer vision , computer science , image moment , image processing , transformation (genetics) , image (mathematics) , algorithm , mathematics , physics , biochemistry , chemistry , classical mechanics , gene
Orthogonal polar image moments which are defined over a unit disk, are used often in watermarking applications. One such image moment is polar harmonic Fourier transformation (PHFT). The quality of the extracted watermark depends on the accuracy of the computed image moments. Various methods have already been used for the computation of the moments with varying degrees of accuracy. This study proposes application of a novel image moments computation method which is a synergy of analytic, and numerical techniques, to image watermarking. The computed moment results in a robust watermark extraction. The PHFT have rotation, and scaling invariance property, which allows the watermark to resist various geometric attacks. In addition to the geometric attacks the watermark has the capability to resist various signal processing attacks. The performance of the proposed watermarking scheme is performed with the methods used in recently published articles. The experimental results show that the proposed method has the better performance compared to other techniques, and has better capability to resist various attacks.

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