2016
DOI: 10.3906/elk-1409-12
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An improved digital image watermarking scheme using the discrete Fourier transform and singular value decomposition

Abstract: Abstract:The paper presents an improved digital image watermarking algorithm by incorporating the discrete Fourier transform (DFT) and singular value decomposition (SVD). The Fourier transformed carrier image is decomposed into four different frequency subbands by the proposed onion peel decomposition (OPD) algorithm and the SVD-based watermarking scheme is applied to attach the transformed watermark in all four carrier subbands. The proposed inverse OPD algorithm together with inverse DFT is utilized to recon… Show more

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Cited by 12 publications
(8 citation statements)
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“…is the standard modular function, i and j are the pixel position in the original image matrix, and i and j are the new pixel position in the transformed image matrix. That is, the pixel at the position (i, j) of original image matrix will be transformed to a new position (i , j ) by (7), which will change the order of matrix pixels and enhances the security in visual identification of watermark image. Moreover, the iteration number of Arnold transform is used as the secret key.…”
Section: B Arnold Transformmentioning
confidence: 99%
See 1 more Smart Citation
“…is the standard modular function, i and j are the pixel position in the original image matrix, and i and j are the new pixel position in the transformed image matrix. That is, the pixel at the position (i, j) of original image matrix will be transformed to a new position (i , j ) by (7), which will change the order of matrix pixels and enhances the security in visual identification of watermark image. Moreover, the iteration number of Arnold transform is used as the secret key.…”
Section: B Arnold Transformmentioning
confidence: 99%
“…When a watermark is embedded in the frequency domain, its energy is spread throughout the carrier image by strongly embedding in the host image with less distortion. Thus, these algorithms are robust in preserving watermarks even if the watermarked images are damaged by the potential attacks [7]. For example, Cedillo-Hernandez et al [8] proposed a robust watermarking method in discrete Fourier transform (DFT) domain for effective management of medical imaging.…”
Section: Introductionmentioning
confidence: 99%
“…Although these frequency domain methods show improvements in watermarking than spatial domain methods, they find difficulties in retrieving valid watermark contents especially when potential attacks damage the frequencies where the watermarks are attached. These disadvantages of single copy watermark attachment in specific frequencies are being taken up by other schemes (Ganic et al, 2004;Sverdlov et al, 2006;Run et al, 2012;Varghese et al, 2016) to attach multiple watermark replicas in all frequencies to provide better robustness against external deprivations in watermarked images. Watermarks attached in specific frequencies have specific resistance to specific group of attacks and it varies according to the frequency where the watermark contents are attached.…”
Section: Related Work and Reviewmentioning
confidence: 99%
“…However, the principal drawback of this technique is the lack of robustness against different image processing attacks. On the other hand, in the watermark techniques applied in the frequency domain transform, for the cover image, a transformation algorithms such as fast Fourier transform [8], discrete cosine transform (DCT), discrete wavelet transform (DWT) [9], or other similar algorithms are used, and usually, the watermark information is embedded into the coefficients of the selected transform.…”
Section: Introductionmentioning
confidence: 99%