Scheduled System Maintenance on December 17th, 2014:
IEEE Xplore will be upgraded between 2:00 and 5:00 PM EST (18:00 - 21:00) UTC. During this time there may be intermittent impact on performance. We apologize for any inconvenience.
By Topic

Adaptive image watermarking scheme in Contourlet transform using singular value decomposition

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

Formats Non-Member Member
$31 $13
Learn how you can qualify for the best price for this item!
Become an IEEE Member or Subscribe to
IEEE Xplore for exclusive pricing!
close button

puzzle piece

IEEE membership options for an individual and IEEE Xplore subscriptions for an organization offer the most affordable access to essential journal articles, conference papers, standards, eBooks, and eLearning courses.

Learn more about:

IEEE membership

IEEE Xplore subscriptions

2 Author(s)
Shao-min Zhu ; China Electr. Power Res. Inst., Beijing ; Jian-ming Liu

In this paper, the authors propose a novel image watermarking scheme based on contourlet transform and singular value decomposition. We embed watermark bits in singular value vectors of the embedded blocks within lowpass subband in contourlet transform. We further adaptively apply quantization index modulation for embedding watermark according to energy distribution and human visual masking to achieve better performance in terms of perceptually invisibility and robustness of the watermark. The experimental results show that the proposed adaptive watermarking scheme is robust against JPEG compression, lowpass filtering, noise addition, resizing and cropping attacks. The comparison analysis demonstrates that our scheme has better performance than the watermarking schemes reported recently.

Published in:

Advanced Communication Technology, 2009. ICACT 2009. 11th International Conference on  (Volume:02 )

Date of Conference:

15-18 Feb. 2009