Hessenberg Decomposition-Based Medical Image Watermarking with Its Performance Comparison by Particle Swarm and JAYA Optimization Algorithms for Different Wavelets and Its Authentication Using AES-Reference-Cited by-同舟云学术

Hessenberg Decomposition-Based Medical Image Watermarking with Its Performance Comparison by Particle Swarm and JAYA Optimization Algorithms for Different Wavelets and Its Authentication Using AES

Published:2023-03-22 Issue:8 Volume:42 Page:4953-4984
ISSN:0278-081X
Container-title:Circuits, Systems, and Signal Processing
language:en
Short-container-title:Circuits Syst Signal Process

Author:

Awasthi Divyanshu^ORCID,Srivastava Vinay Kumar

Publisher

Springer Science and Business Media LLC

Subject

Applied Mathematics,Signal Processing

Link

https://link.springer.com/content/pdf/10.1007/s00034-023-02344-z.pdf

Reference34 articles.

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2. D. Awasthi, V.K. Srivastava, LWT-DCT-SVD and DWT-DCT-SVD based watermarking schemes with their performance enhancement using Jaya and Particle swarm optimization and comparison of results under various attacks. Multimed. Tools Appl. (2022). https://doi.org/10.1007/s11042-022-12456-4

3. D. Awasthi, V.K. Srivastava, Robust, imperceptible and optimized watermarking of DICOM image using Schur decomposition, LWT-DCT-SVD and its authentication using SURF. Multimed. Tools Appl. (2022). https://doi.org/10.1007/s11042-022-14002-8

4. M. Barni, F. Bartolini, V. Cappellini, A. Piva, A DCT-domain system for robust image watermarking. Signal Process. 66(3), 357–372 (1998)

5. I. Daubechies, Orthonormal bases of compactly supported wavelets. Commun. Pure Appl. Math. 41(7), 909–996 (1988)

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