Digital watermarking always attracts the attention of researchers from early nineties to present scenario, in the ever changing world of digital creation, transmission and modification of information. In this paper we draw our attention towards a next generation of digital watermarking based on specific features of digital information using Harris corner detection (strongest) method. In this scheme first twenty strongest corner points obtained using Harris method are used as a reference for embedding watermark information and to retain the synchronization information after distortions. The scheme is time efficient as only twenty strongest corner points per frame are computed. Hence the proposed scheme is useful for time constrained applications. The experimental results confirms that the suggested scheme show a adequate level of resilience against the majority of image processing attacks together with affine transformations.
CITATION STYLE
Agarwal, H., Husain, F., & Saini, P. (2019). Next Generation Noise and Affine Invariant Video Watermarking Scheme Using Harris Feature Extraction. In Communications in Computer and Information Science (Vol. 1046, pp. 655–665). Springer Verlag. https://doi.org/10.1007/978-981-13-9942-8_61
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