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International Journal of Advanced Computer Science and Applications(IJACSA), Volume 7 Issue 11, 2016.
Abstract: Research in digital watermarking has evolved rapidly in the current decade. This evolution brought various different methods and algorithms for watermarking digital images and videos. Introduced methods in the field varies from weak to robust according to how tolerant the method is implemented to keep the existence of the watermark in the presence of attacks. Rotation attacks applied to the watermarked media is one of the serious attacks which many, if not most, algorithms cannot survive. In this paper, a new automatic rotation recovery algorithm is proposed. This algorithm can be plugged to any image or video watermarking algorithm extraction component. The main job for this method is to detect the geometrical distortion happens to the watermarked image/images sequence; recover the distorted scene to its original state in a blind and automatic way and then send it to be used by the extraction procedure. The work is limited to have a recovery process to zero padded rotations for now, cropped images after rotation is left as future work. The proposed algorithm is tested on top of extraction component. Both recovery accuracy and the extracted watermarks accuracy showed high performance level.
Nasr addin Ahmed Salem Al-maweri, Aznul Qalid Md Sabri and Ali Mohammed Mansoor, “Automatic Rotation Recovery Algorithm for Accurate Digital Image and Video Watermarks Extraction” International Journal of Advanced Computer Science and Applications(IJACSA), 7(11), 2016. http://dx.doi.org/10.14569/IJACSA.2016.071110
@article{Al-maweri2016,
title = {Automatic Rotation Recovery Algorithm for Accurate Digital Image and Video Watermarks Extraction},
journal = {International Journal of Advanced Computer Science and Applications},
doi = {10.14569/IJACSA.2016.071110},
url = {http://dx.doi.org/10.14569/IJACSA.2016.071110},
year = {2016},
publisher = {The Science and Information Organization},
volume = {7},
number = {11},
author = {Nasr addin Ahmed Salem Al-maweri and Aznul Qalid Md Sabri and Ali Mohammed Mansoor}
}
Copyright Statement: This is an open access article licensed under a Creative Commons Attribution 4.0 International License, which permits unrestricted use, distribution, and reproduction in any medium, even commercially as long as the original work is properly cited.