2016
DOI: 10.1007/978-3-662-49381-6_75
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A Fast and Robust Image Watermarking Scheme Using Improved Singular Value Decomposition

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Cited by 1 publication
(2 citation statements)
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“…In the SVD based image watermarking schemes, first each segmented image block is decomposed into three matrices U, D and V (see 2.1). After that, watermarks can be embedded in different positions in the matrices: (1) in D [6,15,17,19,28] (2) in the first column U or V [4,13,28] or (3) in both D and U [2,7]. In various SVD based algorithms [2,6,8,10,13], only the first coefficient of D and the first column of U (or V) are used.…”
Section: Introductionmentioning
confidence: 99%
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“…In the SVD based image watermarking schemes, first each segmented image block is decomposed into three matrices U, D and V (see 2.1). After that, watermarks can be embedded in different positions in the matrices: (1) in D [6,15,17,19,28] (2) in the first column U or V [4,13,28] or (3) in both D and U [2,7]. In various SVD based algorithms [2,6,8,10,13], only the first coefficient of D and the first column of U (or V) are used.…”
Section: Introductionmentioning
confidence: 99%
“…Since the transform is complex and must be employed to every block, this step is rather time consuming. Inspired by the work of [7], we show that in watermarking schemes, one does not need to compute SVD for image blocks in the conventional way, but only need to use the largest eigenvector and eigenvalue of the blocks. We proposed a new algorithm to directly compute the aforementioned values and utilize them in watermarking schemes.…”
Section: Introductionmentioning
confidence: 99%