Research Article | OPEN ACCESS
A Fractional Random Wavelet Transform Based Image Steganography
1G.K. Rajini and 2G. Ramachandra Reddy (SMIEEE)
1School of Electrical Engineering, VIT University, Vellore, Tamilnadu
2Department of ECE, S.V. University, Tirupati Andhra Pradesh, India
Research Journal of Applied Sciences, Engineering and Technology 2015 11:943-951
Received: September 27, 2014 | Accepted: October 29, 2014 | Published: April 15, 2015
Abstract
This study presents a novel technique for image steganography based on Fractional Random Wavelet Transform. This transform has all the features of wavelet transform with randomness and fractional order built into it. The randomness and fractional order in the algorithm brings in robustness and additional layers of security to steganography. The stegano image generated by this algorithm contains both cover image and hidden image and image degradation is not observed in it. The steganography strives for security and pay load capacity. The performance measures like PeakSignal to Noise Ratio (PSNR), Mean Square Error (MSE), Structural Similarity Index Measure (SSIM) and Universal Image Quality Index (UIQI) are computed. In this proposed algorithm, imperceptibility and robustness are verified and it can sustain geometric transformations like rotation, scaling and translation and is compared with some of the existing algorithms. The numerical results show the effectiveness of the proposed algorithm.
Keywords:
DWT, fractional random wavelet transform, image steganography, MSE, network attacks, PSNR, SSIM, security , UIQI,
Competing interests
The authors have no competing interests.
Open Access Policy
This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made.
Copyright
The authors have no competing interests.
|
|
![](http://www.maxwellsci.com/images/RJASET-maxw.jpg) |
ISSN (Online): 2040-7467
ISSN (Print): 2040-7459 |
![Submit Manuscript](../images/sub.jpg) |
Information |
|
|
|
Sales & Services |
|
|
|