Watermark Detection in NSCT-Domain
Hongbo Bi*, Ying Liu, Yanliang Ge, Yubo Zhang , Mengmeng WuSchool of Electrical Information Engineering, Northeast Petroleum University, Daqing 163318, China
Abstract
In this paper, we presented a Rao hypothesis detector by modeling Cauchy distribution for the NonSubsampled Contourlet Transform (NSCT) subband coefficients in the field of additive spread spectrum image watermarking. Firstly, the NSCT subband coefficients were modeled following the Cauchy distributions. Secondly, a blind Rao test watermark detector was derived in the NSCT domain. Finally, the robustness of the proposed watermarking scheme was evaluated. Experimental results show that the proposed Rao detector guarantees the lowest probability of miss under the given probability of false alarm.
Keywords: Blind detector, cauchy distribution, NSCT, rao hypothesis test.
Article Information
Article History:
Received Date: 10/06/2015
Revision Received Date: 29/07/2015
Acceptance Date: 15/08/2015
Electronic publication date: 25/3/2016
Collection year: 2016
© Bi et al.; Licensee Bentham Open.
open-access license: This is an open access article licensed under the terms of the Creative Commons Attribution-Non-Commercial 4.0 International Public License (CC BY-NC 4.0) (
https://creativecommons.org/licenses/by-nc/4.0/legalcode), which permits unrestricted, non-commercial use, distribution and reproduction in any medium, provided the work is properly cited.
* Address correspondence to this author at the School of Electrical Information Engineering, Northeast Petroleum University, Daqing 163318, China;
E-mail:bihongbo@hotmail.com
Open Peer Review Details |
Manuscript submitted on 10-06-2015 |
Original Manuscript |
Watermark Detection in NSCT-Domain |