caa a22 4500 605447640 CHVBK 20210128100133.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s11042-013-1808-y doi (NATIONALLICENCE)springer-10.1007/s11042-013-1808-y Image watermarking via separable moments [Elektronische Daten] [E. Tsougenis, G. Papakostas, D. Koulouriotis] The use of image moments as host coefficients constitutes one of the hot topics in image watermarking field due to their robust behavior. Recenlty, a new approach called separable moments (SMs) has been introduced representing an image as combinations of different orthogonal polynomials that generate a series of new moment families. The scope of the present work is to introduce the specific transformations to the image watermarking field by evaluating their security capability under a wide range of common signal processing and geometric attacks. Furthermore, their ability of carrying large binary watermark messages is also examined. The performance of the proposed moment families is evaluated by a comparison to the original moments and a state-of-the-art method. The experimental results justified that a number of the studied transformations outperforms the benchmark method and occasionally the original moment families. Moreover, specific separable moment families are free of instabilities to the higher order coefficients where the extra watermark information is carried. A significant conclusion lies on the adoption of properties (locality, stability) between the generated separable moment families that lead to the enhancement of the basic watermarking requirements (robustness, imperceptibility and capacity) of the proposed watermarking method. The present work justifies that discrete orthogonal SMs constitute a new attractive transformation for the image moment-based watermarking field. Springer Science+Business Media New York, 2013 Image watermarking nationallicence Separable image moments nationallicence Geometric distortion invariance nationallicence Locality nationallicence Tsougenis E. Department of Production Engineering and Management, Democritus University of Thrace, 67100, Xanthi, Greece aut Papakostas G. Department of Computer & Informatics Engineering, TEI of Eastern Macedonia & Thrace, Human-Machines Interaction (HMI) Laboratory, Agios Loukas, GR-65404, Kavala, Greece aut Koulouriotis D. Department of Production Engineering and Management, Democritus University of Thrace, 67100, Xanthi, Greece aut Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/11(2015-06-01), 3985-4012 1380-7501 74:11<3985 2015 74 11042 https://doi.org/10.1007/s11042-013-1808-y 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/s11042-013-1808-y text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Tsougenis E. Department of Production Engineering and Management, Democritus University of Thrace, 67100, Xanthi, Greece aut NATIONALLICENCE 700 1- Papakostas G. Department of Computer & Informatics Engineering, TEI of Eastern Macedonia & Thrace, Human-Machines Interaction (HMI) Laboratory, Agios Loukas, GR-65404, Kavala, Greece aut NATIONALLICENCE 700 1- Koulouriotis D. Department of Production Engineering and Management, Democritus University of Thrace, 67100, Xanthi, Greece aut NATIONALLICENCE 773 0- Multimedia Tools and Applications Springer US; http://www.springer-ny.com 74/11(2015-06-01), 3985-4012 1380-7501 74:11<3985 2015 74 11042