TITLE:
A New Image Watermarking Scheme Using Genetic Algorithm and Residual Numbers with Discrete Wavelet Transform
AUTHORS:
Peter Awonnatemi Agbedemnab, Mohammed Akolgo, Moses Apambila Agebure
KEYWORDS:
Discrete Wavelet Transform (DWT), Digital Watermarking, Encryption, Genetic Algorithm (GA), Residue Number System (RNS), GARN
JOURNAL NAME:
Journal of Information Security,
Vol.14 No.4,
October
18,
2023
ABSTRACT: Transmission
of data over the internet has become a critical issue as a result of the
advancement in technology, since it is possible for pirates to steal the
intellectual property of content owners. This paper presents a new digital watermarking
scheme that combines some operators of the Genetic Algorithm (GA) and the
Residue Number (RN) System (RNS) to perform encryption on an image, which is embedded into a cover
image for the purposes of watermarking. Thus, an image watermarking scheme uses an encrypted image. The
secret image is embedded in decomposed frames of the cover image achieved by
applying a three-level
Discrete Wavelet Transform (DWT). This is to ensure that the secret information
is not exposed even when there is a successful attack on the cover information.
Content creators can prove ownership of the multimedia content by unveiling the
secret information in a court
of law. The proposed scheme was tested with sample data using MATLAB2022 and
the results of the simulation show a great deal of imperceptibility and
robustness as compared to similar existing schemes.