In this paper, a binary watermark is embedded and extracted using principal component analysis along with non-subsampled contourlet transform. Before the use of aforementioned techniques, the binary watermark is scrambled, for which we have used Arnold transform. This will by default add a level of security measures without a password. The approach as presented in the following paper is very efficient, novel, robust and blind. We have also considered the possibility of image processing attacks, hence we have employed non subsampled contourlet transform for the same. The scheme is tested on various images and we have come to a conclusion that this scheme is very performance oriented when compared to the existing watermarking techniques using 3D anaglyphic images.
CITATION STYLE
Kareem Mohammed, B., A. Naman Al-taee, H., & Abdulhussein Daleh Al.magsoosi, A. (2018). 3D anaglyph image watermarking approach. Journal of Al-Qadisiyah for Computer Science and Mathematics, 10(1). https://doi.org/10.29304/jqcm.2018.10.1.349
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