Copyright Protection for Digital Images using Singular Value Decomposition and Integer Wavelet Transform
Автор: Siddharth Singh, Tanveer J. Siddiqui
Журнал: International Journal of Computer Network and Information Security(IJCNIS) @ijcnis
Статья в выпуске: 4 vol.8, 2016 года.
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This paper presents a new technique for copyright protection of images using integer wavelet transform (IWT), singular value decomposition (SVD) and Arnold transform. We divide the cover image into four sub-images by picking alternate pixels from consecutive rows and columns and embed the copyright mark into the sub-image having the largest sum of singular values. The embedding is done by modifying singular values of the IWT coefficients of the selected sub-image. The use of Arnold transform and SVD increases security and robustness against geometric and several signals processing attacks, while IWT provides computational efficiency. We compare the performance of our technique with state-of-the-art-methods. The experimental results show that the proposed technique is more imperceptible and achieves higher security and robustness against various signal processing (filtering, compression, noise addition, histogram equalization and motion blur) and geometrical (cropping, resizing, rotation) attacks.
Digital image steganography, copyright protection, singular value decomposition, Arnold transform, integer wavelet transform
Короткий адрес: https://sciup.org/15011514
IDR: 15011514
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