By Topic

Blind Image Watermark Analysis using DWT and Non-Negative Matrix Factorization

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)
Wei Sun ; Sch. of Software, Sun Yat-sen Univ., Guangzhou ; Wei Lu

This paper proposed a blind digital image watermark analysis algorithm, which is to analyze watermarks in host images without any prior-watermarking embedding and detection information. In the proposed algorithm, DWT is firstly used to decompose images into detail subbands, and noise visibility function is used to enhance the detail subbands, then non-negative matrix factorization (NMF) is used to reveal the intrinsic features in host images. Support vector machines (SVMs) are finally used to classify these characteristics. Numerical experimental results show that the proposed scheme describes the intrinsic statistical characteristics and the proposed watermark analysis is effective.

Published in:

Pattern Recognition, 2008. CCPR '08. Chinese Conference on

Date of Conference:

22-24 Oct. 2008