By Topic

Image adaptive watermarking using wavelet domain 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)
Bao, P. ; Sch. of Comput. Eng., Nanyang Technol. Univ., Singapore ; Xiaohu Ma

In this letter, we propose a novel, yet simple, image-adaptive watermarking scheme for image authentication by applying a simple quantization-index-modulation process on wavelet domain singular value decomposition. Unlike the traditional wavelet-based watermarking schemes where the watermark bits are embedded directly on the wavelet coefficients, the proposed scheme is based on bit embedding on the singular value (luminance) of the blocks within wavelet subband of the original image. To improve the fidelity and the perceptual quality of the watermarked image and to enhance the security of watermarking, we model the adaptive quantization parameters based on the statistics of blocks within subbands. The scheme is robust against JPEG compression but extremely sensitive to malicious manipulation such as filtering and random noising. Watermark detection is efficient and blind in the sense only the quantization parameters but not the original image are required. The quantization parameters adaptive to blocks are vector quantized to reduce the watermarking overhead.

Published in:

Circuits and Systems for Video Technology, IEEE Transactions on  (Volume:15 ,  Issue: 1 )