Achieving image watermarking robustness by geometric rectification
Document Type
Article
Publication Date
4-1-2017
Abstract
Image watermarking techniques have been widely used for copyright protection, broadcast monitoring, and data authentication. In this paper, we present a novel watermarking scheme which allows automatic selection of multiple regions-of-interest (ROIs) with robustness against geometric distortion. The fidelity of watermarked images is ensured by preserving salient foreground objects. The proposed scheme achieves watermarking robustness by geometric rectification, which is based on matching feature points between the salient foreground objects of a host image and its distorted stego-image. Experimental results show that the proposed technique can successfully obtain high fidelity and high robustness on an image dataset of multiple salient foreground objects.
Identifier
84992153782 (Scopus)
Publication Title
International Journal of Pattern Recognition and Artificial Intelligence
External Full Text Location
https://doi.org/10.1142/S0218001417540076
ISSN
02180014
Issue
4
Volume
31
Recommended Citation
Shih, Frank Y. and Zhong, Xin, "Achieving image watermarking robustness by geometric rectification" (2017). Faculty Publications. 9652.
https://digitalcommons.njit.edu/fac_pubs/9652
