Cart (Loading....) | Create Account
Close category search window

Blind digital image watermarking using adpative casting energy in different resolutions of wavelet transform

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

1 Author(s)
Kang, G.S. ; Dept. of Comput. Sci., Punjabi Univ., Patiala, India

With ubiquitous computing, safeguarding the creative content and intellectual property in a digital form have become essential necessity. Watermarking is one such technique for protecting the digital data like image, video and audio signal. In this paper, digital image watermarking technique is proposed for protecting the digital images based on discrete wavelet transform due its excellent spatial localization, frequency spread and multi-resolution analysis similar to human visual system. The method involves a visual watermark (grayscale image) which is transformed using discrete cosine transform for getting low frequency coefficients in frequency domain. The low frequency coefficients of transformed watermark image contain maximum visual data information. Then, the original image is transformed using the discrete wavelet transform and watermark is embedded by modifying the coefficients of LL bands with appropriate imperceptibility and robustness. The multi-energy watermarking technique using the qualified significant wavelet tree (QSWT) are used to select the locations for embedding and extracting image watermark. QSWT provides robustness by allowing adaptive casting energy in different resolutions available from the wavelet transform. The performance of this scheme is robust to sharpening, smoothening, JPEG compression and image cropping.

Published in:

Computer and Communication Technology (ICCCT), 2010 International Conference on

Date of Conference:

17-19 Sept. 2010

Need Help?

IEEE Advancing Technology for Humanity About IEEE Xplore | Contact | Help | Terms of Use | Nondiscrimination Policy | Site Map | Privacy & Opting Out of Cookies

A not-for-profit organization, IEEE is the world's largest professional association for the advancement of technology.
© Copyright 2014 IEEE - All rights reserved. Use of this web site signifies your agreement to the terms and conditions.