Alshoura, Wafa’hamdan Suleiman
(2022)
Enhancing Svd-Based Image
Watermarking Strategies Based On
Digital Chaos.
PhD thesis, Universiti Sains Malaysia.
Abstract
A digital image is a universal medium that carries sensitive information and has
proliferated in recent years. The watermarking scheme is a technique used for protecting
digital images and other content such as audio, video, and text. Image watermarking
schemes have the ability to embed the owner’s information into a host image
in an imperceptible manner, and can be extracted later in the detection phase. Recently,
the hybrid singular value decomposition (SVD)-based watermarking schemes
in the frequency domain have received considerable attention. The interest is as a result
of SVD having stability and robust properties which makes it resistant to different
well-known attacks. However, existing hybrid SVD schemes do not meet some critical
watermarking requirements such as successful trade-offs between robustness and imperceptibility,
large capacity, and high security. Hence, they produce ineffective results
which are not robust and are prone to a variety of attacks. This study aims to bridge
the gap by developing enhanced hybrid SVD-based image watermarking schemes to
fulfil the aforementioned watermarking requirements. In the proposed schemes, random
numbers and new embedding strategies are leveraged upon to address these issues
as well as making the proposed schemes flexible and easy to implement. This study
proposes three new schemes that can be implemented on different image formats (gray
and color image). The design elements and the novel constructions incorporated in
the proposed schemes makes sure that they surpass the existing schemes.
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