By Topic

Image hiding using unitary similarity transformation

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

3 Author(s)
Sharma, M. ; Electr. Eng. Dept., NIT, Hamirpur, India ; Shukla, M. ; Kaul, A.

A different and efficient method of image hiding is proposed here. It is based on unitary similarity transformation, involving calculation of eigen values and eigen vectors of a matrix and then transforming it into a diagonal matrix. Only secret image needs to be transformed and is then embedded to the cover image. Inverse transformation can be used to recover the secret image from the stego-image. The eigen vector matrix acts as decryption key. This algorithm is simple and can be easily implemented. It can greatly improve the security of the system, robustness of image-hiding. The quality of stego-image and the recovered image is improved up to a certain extent and is evident from the high PSNR of stego image.

Published in:

Image Information Processing (ICIIP), 2011 International Conference on

Date of Conference:

3-5 Nov. 2011