Regular Articles

Adaptive image steganography using contourlet transform

[+] Author Affiliations
Mohammad Fakhredanesh

Amirkabir University of Technology,Computer Engineering and Information Technology Department,Tehran 15875-4413, Iran

Mohammad Rahmati

Amirkabir University of Technology,Computer Engineering and Information Technology Department,Tehran 15875-4413, Iran

Reza Safabakhsh

Amirkabir University of Technology,Computer Engineering and Information Technology Department,Tehran 15875-4413, Iran

J. Electron. Imaging. 22(4), 043007 (Oct 16, 2013). doi:10.1117/1.JEI.22.4.043007
History: Received February 13, 2013; Revised July 16, 2013; Accepted September 16, 2013
Text Size: A A A

Abstract.  This work presents adaptive image steganography methods which locate suitable regions for embedding by contourlet transform, while embedded message bits are carried in discrete cosine transform coefficients. The first proposed method utilizes contourlet transform coefficients to select contour regions of the image. In the embedding procedure, some of the contourlet transform coefficients may change which may cause errors at the message extraction phase. We propose a novel iterative procedure to resolve such problems. In addition, we have proposed an improved version of the first method in which it uses an advanced embedding operation to boost its security. Experimental results show that the proposed base method is an imperceptible image steganography method with zero retrieval error rate. Comparisons with other steganography methods which utilize contourlet transform show that our proposed method is able to retrieve all messages perfectly, whereas the others fail. Moreover, the proposed method outperforms the ContSteg method in terms of PSNR and the higher-order statistics steganalysis method. Experimental evaluations of our methods with the well known DCT-based steganography algorithms have demonstrated that our improved method has superior performance in terms of PSNR and SSIM, and is more secure against the steganalysis attack.

Figures in this Article
© 2013 SPIE and IS&T

Citation

Mohammad Fakhredanesh ; Mohammad Rahmati and Reza Safabakhsh
"Adaptive image steganography using contourlet transform", J. Electron. Imaging. 22(4), 043007 (Oct 16, 2013). ; http://dx.doi.org/10.1117/1.JEI.22.4.043007


Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).

Some tools below are only available to our subscribers or users with an online account.

Related Content

Customize your page view by dragging & repositioning the boxes below.

Related Book Chapters

Topic Collections

Advertisement
  • Don't have an account?
  • Subscribe to the SPIE Digital Library
  • Create a FREE account to sign up for Digital Library content alerts and gain access to institutional subscriptions remotely.
Access This Article
Sign in or Create a personal account to Buy this article ($20 for members, $25 for non-members).
Access This Proceeding
Sign in or Create a personal account to Buy this article ($15 for members, $18 for non-members).
Access This Chapter

Access to SPIE eBooks is limited to subscribing institutions and is not available as part of a personal subscription. Print or electronic versions of individual SPIE books may be purchased via SPIE.org.