Design of a cryptosystem for DCT compressed image using Arnold transform and fractional Fourier transform
by Kshiramani Naik; Arup Kumar Pal
International Journal of Computational Vision and Robotics (IJCVR), Vol. 5, No. 3, 2015

Abstract: The authors have proposed an image cryptosystem on the compressed version of the secret image to reduce the computational overhead and also to utilise the limited bandwidth of the communication channel maintaining the security. The compression has been done using transformation tool like discrete cosine transform (DCT). In the proposed scheme, the insignificant DCT coefficients of the secret image are discarded for compression of the secret image and the significant DCT coefficients are encrypted employing Arnold transformation (ACM) followed by fractional Fourier transform (FrFt). The parameters used in Arnold transformation and fractional Fourier transformation are kept confidential and considered as secret keys. The proposed scheme has been tested on a set of standard gray scale images and satisfactory results have been found. Besides, the security analysis has been carried out to demonstrate the effectiveness of the proposed scheme against some possible cryptographic attacks.

Online publication date: Fri, 21-Aug-2015

The full text of this article is only available to individual subscribers or to users at subscribing institutions.

 
Existing subscribers:
Go to Inderscience Online Journals to access the Full Text of this article.

Pay per view:
If you are not a subscriber and you just want to read the full contents of this article, buy online access here.

Complimentary Subscribers, Editors or Members of the Editorial Board of the International Journal of Computational Vision and Robotics (IJCVR):
Login with your Inderscience username and password:

    Username:        Password:         

Forgotten your password?


Want to subscribe?
A subscription gives you complete access to all articles in the current issue, as well as to all articles in the previous three years (where applicable). See our Orders page to subscribe.

If you still need assistance, please email subs@inderscience.com