The week's pick
Reseach Article
Multiple Image Encryption using Fractional Multiresolution Transforms
| International Journal of Applied Information Systems |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 8 - Number 2 |
| Year of Publication: 2015 |
| Authors: S.arivazhagan, W.sylvia Lilly Jebarani, M.lakshmi |
10.5120/ijais15-451282
|
S.arivazhagan, W.sylvia Lilly Jebarani, M.lakshmi . Multiple Image Encryption using Fractional Multiresolution Transforms. International Journal of Applied Information Systems. 8, 2 ( January 2015), 25-31. DOI=10.5120/ijais15-451282
Abstract
Secured communication has been a common practice in the social life. The main idea of encryption is to transform the message in which its original information can only be reconstructed by a desired recipient. As data significance can easily be determined in transformation domain, it is a preferable domain for encryption of digital images. In this work, secured multiple image transmission is chosen as the primary application and hence a method is proposed for securing multiple images during communication and transmission over insecure channel. The multiple images are encrypted using Arnold cat Map and then using various Fractional Multiresolutional transforms followed by sharing. Recent years have also witnessed Fractional Fourier transform (FrFT) domain as a potential transformation domain for encryption. Fractional combined Multiresolution domain inherits the virtues of Multiresolution transform and Fractional domain providing improved security. This offers the Fractional order as an extra key, in addition to the keys offered by any Multiresolution based encryption technique. In the proposed work, Fractional Undecimated Dual Tree Complex Wavelet Transform (FrUDT-CWT) is introduced by coalescing Fractional Fourier Transform (FrFT) and Undecimated Dual Tree Complex Wavelet Transform (UDT-CWT) inheriting the properties of both FrFT and UDT-CWT. Multiple image encryption is done using FrUDT-CWT and the results are compared with FrDT-CWT and FrWT.
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