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Department of Mathematics, Faculty of Science, Urmia University
Abstract
This paper presents a new image watermarking method in Contourlet domain, where watermark is embedded through quantum chaotic map in the selected Contourlet coefficients of the cover image. The main idea of this method is data embedding in selected sub bands, providing higher resiliency through better spectrum spreading compared to other sub bands. The proposed method leads to higher imperceptibility and robustness against several common watermarking attacks such as compression, adding noise, filtering and scaling. It has been observed that, in comparison with other Contourlet based and wavelet based methods, the proposed method is thanks to its capability in directional selectivity.
Allahyari, L., Sohrabi, S., & Najafi, E. (2020). A new image watermarking scheme using contourlet transform, singular values and chaos. Journal of Machine Vision and Image Processing, 6(2), 15-26.
MLA
Leila Allahyari; Saeed Sohrabi; Esmaeil Najafi. "A new image watermarking scheme using contourlet transform, singular values and chaos". Journal of Machine Vision and Image Processing, 6, 2, 2020, 15-26.
HARVARD
Allahyari, L., Sohrabi, S., Najafi, E. (2020). 'A new image watermarking scheme using contourlet transform, singular values and chaos', Journal of Machine Vision and Image Processing, 6(2), pp. 15-26.
VANCOUVER
Allahyari, L., Sohrabi, S., Najafi, E. A new image watermarking scheme using contourlet transform, singular values and chaos. Journal of Machine Vision and Image Processing, 2020; 6(2): 15-26.