Digital Signature based Image Watermarking using GA and PSO

Rao, R. Sita Rama Chandra; Kumar, Prof. P. Rajesh

doi:10.17577/ijertv6is060208

Cited by 2 publications

(1 citation statement)

References 16 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The approach achieved resilience towards attacks but it is costly in terms of computational time. Also, [15] reported on a digital signature-based watermarking scheme which uses integer wavelet transform and singular value decomposition. The proposed approach employed two algorithms, GA and Particular Swarm Optimisation (PSO).…”

Section: Background and Related Workmentioning

confidence: 99%

A New Image Watermarking Scheme Using Genetic Algorithm and Residual Numbers with Discrete Wavelet Transform

Agbedemnab,

Akolgo,

Agebure

2023

JIS

View full text Add to dashboard Cite

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.

show abstract

Section: Background and Related Workmentioning

confidence: 99%