caa a22 4500 605446563 CHVBK 20210128100127.0 cr unu---uuuuu 210128e20151201xx s 000 0 eng 10.1007/s11042-014-2187-8 doi (NATIONALLICENCE)springer-10.1007/s11042-014-2187-8 Robust digital watermarking based on local invariant radial harmonic fourier moments [Elektronische Daten] [Hong-ying Yang, Pei Wang, Xiang-yang Wang, Pan-pan Niu, E-no Miao, Yan Zhang] It is a challenging work to design a robust image watermarking scheme against local geometric distortions. Radial harmonic Fourier moments (RHFMs) is a powerful tool in image processing owing to its better image description capability, lower noise sensitivity, and geometric invariance property. Based on SURF (Speeded-up robust features) detector and invariant RHFMs, we proposed a robust image watermarking scheme against local geometric distortions in this paper. Firstly, the SURF detector, which is a fast and highly performant multiscale feature detector, is used to extract image feature points in original image. Secondly, the stable and non-overlapped local circular regions centered at feature points are thereafter constructed and selected by combining characteristic scales and feature points refinement. And finally, the digital watermark is embedded in the invariant RHFMs of the local circular regions. Similarly to watermark insertion, the digital watermark can be blindly detected from the local circular regions. Experimental results confirm the validity of our approach and its higher robustness against various attacks (especially local geometric distortions) compared to alternative watermarking methods in the literature. Springer Science+Business Media New York, 2014 Image watermarking nationallicence Local geometric distortions nationallicence Radial harmonic Fourier moment nationallicence Speeded-up robust features nationallicence Yang Hong-ying School of Computer and Information Technology, Liaoning Normal University, 116029, Dalian, People's Republic of China aut Wang Pei School of Computer and Information Technology, Liaoning Normal University, 116029, Dalian, People's Republic of China aut Wang Xiang-yang School of Computer and Information Technology, Liaoning Normal University, 116029, Dalian, People's Republic of China aut Niu Pan-pan School of Computer and Information Technology, Liaoning Normal University, 116029, Dalian, People's Republic of China aut Miao E-no School of Computer and Information Technology, Liaoning Normal University, 116029, Dalian, People's Republic of China aut Zhang Yan School of Computer and Information Technology, Liaoning Normal University, 116029, Dalian, People's Republic of China aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/23(2015-12-01), 10559-10579 1380-7501 74:23<10559 2015 74 11042 https://doi.org/10.1007/s11042-014-2187-8 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s11042-014-2187-8 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Yang Hong-ying School of Computer and Information Technology, Liaoning Normal University, 116029, Dalian, People's Republic of China aut NATIONALLICENCE 700 1- Wang Pei School of Computer and Information Technology, Liaoning Normal University, 116029, Dalian, People's Republic of China aut NATIONALLICENCE 700 1- Wang Xiang-yang School of Computer and Information Technology, Liaoning Normal University, 116029, Dalian, People's Republic of China aut NATIONALLICENCE 700 1- Niu Pan-pan School of Computer and Information Technology, Liaoning Normal University, 116029, Dalian, People's Republic of China aut NATIONALLICENCE 700 1- Miao E-no School of Computer and Information Technology, Liaoning Normal University, 116029, Dalian, People's Republic of China aut NATIONALLICENCE 700 1- Zhang Yan School of Computer and Information Technology, Liaoning Normal University, 116029, Dalian, People's Republic of China aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/23(2015-12-01), 10559-10579 1380-7501 74:23<10559 2015 74 11042