A Robust Image Watermarking Scheme Using Z-Transform, Discrete Wavelet Transform and Bidiagonal Singular Value Decomposition
| Autor: | R. S. Bhuvaneswaran, N. Jayashree |
|---|---|
| Rok vydání: | 2019 |
| Předmět: |
Discrete wavelet transform
Signal processing Computer science Data_MISCELLANEOUS ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION 020206 networking & telecommunications Watermark 02 engineering and technology Z-transform Computer Science Applications Biomaterials Singular value Mechanics of Materials Robustness (computer science) Computer Science::Computer Vision and Pattern Recognition Modeling and Simulation Computer Science::Multimedia Singular value decomposition 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Electrical and Electronic Engineering Digital watermarking Algorithm Computer Science::Cryptography and Security |
| Zdroj: | Computers, Materials & Continua. 58:263-285 |
| ISSN: | 1546-2226 |
| DOI: | 10.32604/cmc.2019.03924 |
| Popis: | Watermarking is a widely used solution to the problems of authentication and copyright protection of digital media especially for images, videos and audio data. Chaos is one of the emerging techniques adopted in image watermarking schemes due to its intrinsic cryptographic properties. This paper proposes a new chaotic hybrid watermarking method combining Discrete Wavelet Transform (DWT), Z-transform (ZT) and Bidiagonal Singular Value Decomposition (BSVD). The original image is decomposed into 3-level DWT, and then, ZT is applied on the HH3 and HL3 sub-bands. The watermark image is encrypted using Arnold Cat Map. BSVD for watermark and transformed original image were computed, and the watermark was embedded by modifying singular values of the host image with the singular values of the watermark image. Robustness of the proposed scheme was examined using standard test images and assessed against common signal processing and geometric attacks. Experiments indicated that the proposed method is transparent and highly robust. |
| Databáze: | OpenAIRE |
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