By Topic

The multiple-parameter weighted fractional Fourier transform and its application to image encryption

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
$33 $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)
Jun Lang ; College of Information Science and Engineering, Northeastern University, Shenyang, Liaoning, 110004, China

In this paper, we generalize the weighted fractional Fourier transform (WFRFT) to contain one vector parameter N∈ℤM, which is denoted by the Multiple-parameter weighted Fractional Fourier Transform (MPWFRFT). The proposed MPWFRFT is shown to possess all of the desired properties for FRFT and it also provides a unified framework for the study of FRFT. In fact, the MPWFRFT will reduce to Zhu's MFRFT when parameter vector N is an ordinary zero vector. The eigen-relationships between MPWFRFT and other FRFT definitions are also discussed. To give an example of application, we exploit its multiple-parameter feature and propose the double random phase encoding in the MPWFRFT domain for digital image encryption. Numerical simulations are performed to demonstrate that the proposed method is reliable and more robust to blind decryption than several existing methods.

Published in:

Image and Signal Processing (CISP), 2011 4th International Congress on  (Volume:4 )

Date of Conference:

15-17 Oct. 2011