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A copyright protection scheme for digital images based on shuffled singular value decomposition and visual
B Pushpa Devi1, Kh Manglem Singh2, Sudipta Roy3
1National Institute of Technology Meghalaya, Shillong, India.
Springerplus
|July 29, 2016
Summary
This study introduces a novel digital image watermarking technique using shuffled singular value decomposition and visual cryptography for robust copyright protection. The method effectively verifies image ownership and withstands various attacks, including rotation.
Area of Science:
- Computer Science
- Digital Image Processing
- Cryptography
Background:
- Digital image copyright protection is crucial.
- Existing watermarking methods face challenges in robustness and security.
- Visual cryptography and SVD offer potential for secure watermarking.
Purpose of the Study:
- To propose a novel watermarking algorithm for digital image copyright protection.
- To enhance the robustness and security of image watermarking schemes.
- To leverage shuffled singular value decomposition (SVD) and visual cryptography.
Main Methods:
- Image decomposition into low and high frequency sub-bands.
- Shuffled singular value decomposition (SVD) applied to blocks of the low frequency sub-band.
- Ownership and identification shares generated using visual cryptography.
Main Results:
- The proposed scheme effectively verifies digital image copyright.
- The algorithm demonstrates robustness against various image processing attacks.
- Superior performance compared to existing visual cryptography-based algorithms, particularly against rotation attacks.
Conclusions:
- The developed watermarking algorithm provides a secure and robust solution for digital image copyright protection.
- The combination of shuffled SVD and visual cryptography offers enhanced resilience.
- The method is particularly effective in preventing unauthorized image manipulation and ensuring ownership verification.
