An SVD-based watermarking scheme for protecting rightful ownership
By Ruizhen Liu, Tien-Ping Tan. IEEE Trans. Multim., 2002
1,149 citations recorded by the source corpus.
Subfields: Computer Vision and Pattern Recognition
View Paper: https://www.semanticscholar.org/paper/9d059b739bc1efecd22119f29ad91914d3e79d8f
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In Computer Vision and Pattern Recognition
Citations in the corpus
- An SVD-based grayscale image quality measure for local and global assessment (2006, background): “• Sharpening: This type of filter makes the textured and high frequency areas sharper and crispier.”
- Robust DWT-SVD domain image watermarking: embedding data in all frequencies (2004, background): “SVD is one of the most useful tools of linear algebra with several applications in image compression [18,19,20,21,22,23], watermarking [14,15,16], and other signal processing fields [24,25,26,27].”
- A new robust reference watermarking scheme based on DWT-SVD (2009, methodology): “Ambiguity attacks In a recent paper, Ting et al. [19] shows that the reference scheme proposed by Liu et al. [16] fails to achieve its objective of being a robust Fig.”
- Image adaptive watermarking using wavelet domain singular value decomposition (2005, background): “[12] presented a robust SVD domain watermarking scheme where a watermark (in the form of a matrix) is added to the singular value matrix of the watermarking image in spatial domain.”