Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Randomization of the Fourier transform

Not Accessible

Your library or personal account may give you access

Abstract

We have investigated the multiplicity and complexity in eigenvalues of the fractional Fourier transform and found that the ambiguity of the eigenvalues may indicate randomness. We have therefore proposed a method to randomize the Fourier transform. Such a random Fourier transform can be applied in the field of image encryption and decryption.

© 2007 Optical Society of America

Full Article  |  PDF Article
More Like This
Random fractional Fourier transform

Zhengjun Liu and Shutian Liu
Opt. Lett. 32(15) 2088-2090 (2007)

Affine cryptosystem of double-random-phase encryption based on the fractional Fourier transform

Zhou Xin, Yuan Sheng, Wang Sheng-wei, and Xie Jian
Appl. Opt. 45(33) 8434-8439 (2006)

Double image encryption based on random phase encoding in the fractional Fourier domain

Ran Tao, Yi Xin, and Yue Wang
Opt. Express 15(24) 16067-16079 (2007)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Figures (4)

You do not have subscription access to this journal. Figure files are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Equations (15)

You do not have subscription access to this journal. Equations are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.