An Optimized IWT–DCT Watermarking Scheme Based on Multiple Matrix Decomposition and MOWOA2

In this paper, we propose a mixed-domain watermarking algorithm based on integer wavelet transform (IWT), discrete cosine transform (DCT) and multiple matrix decomposition. The combination of IWT–DCT avoids the rounding error of discrete wavelet transform (DWT) in the existing algorithm, so it has b...

Full description

Saved in:
Bibliographic Details
Published in:Circuits, systems, and signal processing Vol. 43; no. 8; pp. 5262 - 5287
Main Authors: Wei, Deyun, Deng, Yang
Format: Journal Article
Language:English
Published: New York Springer US 01.08.2024
Springer Nature B.V
Subjects:
Algorithms
Circuits and Systems
Decomposition
Discrete cosine transform
Discrete Wavelet Transform
Electrical Engineering
Electronics and Microelectronics
Engineering
Instrumentation
Multiple objective analysis
Robustness
Security
Signal,Image and Speech Processing
Singular value decomposition
Watermarking
Wavelet transforms
Integer wavelet transform
Watermarking
Discrete cosine transform
Improved multi-objective whale optimization algorithm
ISSN:0278-081X, 1531-5878
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:In this paper, we propose a mixed-domain watermarking algorithm based on integer wavelet transform (IWT), discrete cosine transform (DCT) and multiple matrix decomposition. The combination of IWT–DCT avoids the rounding error of discrete wavelet transform (DWT) in the existing algorithm, so it has better performance than the combination of DWT–DCT. Singular value decomposition (SVD) based watermarking algorithm has a false positive problem (FPP), despite its strong robustness. To solve FPP, we propose a scheme based on two-stage encryption and multi-decomposition. This scheme also further improves the security of the algorithm. In addition, we double embed the watermark data into the host image, and introduce improved multi-objective whale optimization algorithm (MOWOA2) to optimize the embedding intensity of different frequency sub-bands. It not only avoids the problem of weight selection in the face of multiple fitness functions, but it strengthens the algorithm's resistance to various attacks. In comparison to other relevant algorithms, simulation findings demonstrate that the proposed approach has good security, invisibility, and robustness, particularly in resisting various clipping attacks and flipping assaults.
Bibliography:ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0278-081X
1531-5878
DOI:10.1007/s00034-024-02707-0