Optimized gray-scale image watermarking using DWT–SVD and Firefly Algorithm
This paper presents an optimized watermarking scheme based on the discrete wavelet
transform (DWT) and singular value decomposition (SVD). The singular values of a binary
watermark are embedded in singular values of the LL3 sub-band coefficients of the host
image by making use of multiple scaling factors (MSFs). The MSFs are optimized using a
newly proposed Firefly Algorithm having an objective function which is a linear combination
of imperceptibility and robustness. The PSNR values indicate that the visual quality of the …
transform (DWT) and singular value decomposition (SVD). The singular values of a binary
watermark are embedded in singular values of the LL3 sub-band coefficients of the host
image by making use of multiple scaling factors (MSFs). The MSFs are optimized using a
newly proposed Firefly Algorithm having an objective function which is a linear combination
of imperceptibility and robustness. The PSNR values indicate that the visual quality of the …
Abstract
This paper presents an optimized watermarking scheme based on the discrete wavelet transform (DWT) and singular value decomposition (SVD). The singular values of a binary watermark are embedded in singular values of the LL3 sub-band coefficients of the host image by making use of multiple scaling factors (MSFs). The MSFs are optimized using a newly proposed Firefly Algorithm having an objective function which is a linear combination of imperceptibility and robustness. The PSNR values indicate that the visual quality of the signed and attacked images is good. The embedding algorithm is robust against common image processing operations. It is concluded that the embedding and extraction of the proposed algorithm is well optimized, robust and show an improvement over other similar reported methods.
Elsevier
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