Genetic Scrambling Based Environmental Image Watermarking Using DWT

Abstract

newlineThis research presents a novel approach for image watermarking, utilizing a hybrid Discrete newlineWavelet Transform (DWT) and Singular Value Decomposition (SVD) domain-based technique, newlinecombined with a Genetic Algorithm Optimization (GAO) algorithm. The objective is to embed newlinehidden information within digital images while ensuring high security, minimal distortion, and newlinerobustness against various image processing attacks. The aim is to embed hidden information newlinewithin images while ensuring minimal distortion and robustness against image processing newlineattacks. The proposed scheme involves transforming the image using DWT and performing newlinesteganographic embedding in the SVD domain. The GAO algorithm is utilized to optimize the newlineselection of multiscale factors (MSFs) for embedding the hidden information. The effectiveness newlineof the scheme is evaluated through comparison with other recently published watermarking newlineschemes, considering metrics such as embedding capacity, visual quality, and robustness against newlineattacks. The results demonstrate the superiority of the proposed hybrid DWT-SVD domain-based newlineimage watermarking scheme in terms of efficient information hiding and resistance against newlineimage processing attacks Digital watermarking is the process of embedding a digital signal newlinewithin digital media for copyright or authentication purposes. Digital image authentication is a newlinemajor concern for the digital revolution because it is simple to alter any image. In the past few newlinedecades, ensuring the authenticity of digital images has been an imperative concern for newlineresearchers. Several suitable watermarking techniques have been developed based on the newlineintended applications to address this concern. However, it is challenging to develop a newlinewatermarking system that is both robust and secure. This paper proposes digital watermarking newlinetechniques using DWT, SVD, and ECC algorithms with the random spread technique, which has newlinebeen shown to enhance the output image quality. SVD-based watermarking modifies the singular newlinevalues of the host image, wher