International Journal of Image, Graphics and Signal Processing (IJIGSP)
IJIGSP Vol. 7, No. 4, 8 Mar. 2015
Cover page and Table of Contents: PDF (size: 1105KB)
Performance Comparison of Watermarking Using SVD with Orthogonal Transforms and Their Wavelet Transforms
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Author(s)
H. B. Kekre
1,*
TanujaSarode
2
Shachi Natu
1
Index Terms
Watermarking, Singular value Decomposition, wavelet transform, Kekre transform, Real Fourier Transform
Abstract
A hybrid watermarking technique using Singular value Decomposition with orthogonal transforms like DCT, Haar, Walsh, Real Fourier Transform and Kekre transform is proposed in this paper. Later, SVD is combined with wavelet transforms generated from these orthogonal transforms. Singular values of watermark are embedded in middle frequency band of column/row transform of host image. Before embedding, Singular values are scaled with suitable scaling factor and are sorted. Column/row transform reduces the computational complexity to half and properties of singular value decomposition and transforms add to robustness. Behaviour of proposed method is evaluated against various attacks like compression, cropping, resizing, and noise addition. For majority of attacks wavelet transforms prove to be more robust than corresponding orthogonal transform from which it is generated.
Cite This Paper
H. B. Kekre, Tanuja Sarode, Shachi Natu,"Performance Comparison of Watermarking Using SVD with Orthogonal Transforms and Their Wavelet Transforms", IJIGSP, vol.7, no.4, pp.1-18, 2015. DOI: 10.5815/ijigsp.2015.04.01
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