Suitability of Singular Value Decomposition for Image Watermarking
| Title | Suitability of Singular Value Decomposition for Image Watermarking |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Singh, Neha, Joshi, Sandeep, Birla, Shilpi |
| Conference Name | 2019 6th International Conference on Signal Processing and Integrated Networks (SPIN) |
| ISBN Number | 978-1-7281-1380-7 |
| Keywords | compositionality, cover image, cyber physical systems, decomposition, Digital Image Watermarking, digital images, False positive problem, Image coding, Image reconstruction, image security, image watermarking, Matrix decomposition, Metrics, pubcrawl, singular value decomposition, Transforms, Watermarking, watermarking techniques |
| Abstract | Digital images are extensively used and exchanged through internet, which gave rise to the need of establishing authorship of images. Image watermarking has provided a solution to prevent false claims of ownership of the media. Information about the owner, generally in the form of a logo, text or image is imperceptibly hid into the subject. Many transforms have been explored by the researcher community for image watermarking. Many watermarking techniques have been developed based on Singular Value Decomposition (SVD) of images. This paper analyses Singular Value Decomposition to understand its use, ability and limitations to hide additional information into the cover image for Digital Image Watermarking application. |
| URL | https://ieeexplore.ieee.org/document/8711749 |
| DOI | 10.1109/SPIN.2019.8711749 |
| Citation Key | singh_suitability_2019 |
- image security
- watermarking techniques
- Watermarking
- Transforms
- singular value decomposition
- pubcrawl
- Metrics
- Matrix decomposition
- image watermarking
- Compositionality
- Image reconstruction
- Image coding
- False positive problem
- digital images
- Digital Image Watermarking
- decomposition
- cyber physical systems
- cover image