alexa High Embedding Capacity and Secured Steganographic Mode
ISSN: 2319-9873

Research & Reviews: Journal of Engineering and Technology
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Research Article

High Embedding Capacity and Secured Steganographic Model by Using RS based Genetic Algorithm and IWT

Dinesh Kumar* and Narendra Yadav

Department of Computer Science & Engineering, Sri Balaji College of Engineering & Technology, Jaipur, Rajasthan (India)

*Corresponding Author:
Dinesh Kumar
Department of Computer Science & Engineering
Sri Balaji College of Engineering & Technology
Jaipur, Rajasthan (India)
E-Mail : [email protected], [email protected]

Received: 20 August 2012 Accepted: 10 November 2012 Revised: 07 November 2012



The proposed system presents a novel approach of building a secure data hiding technique of Steganography using inverse wavelet transform along with Genetic algorithm. The prominent focus of the proposed work is to develop RS-analysis proof design with highest imperceptibility. Optimal Pixel Adjustment process is also adopted to minimize the difference error between the input cover image and the embedded-image and in order to maximize the hiding capacity with low distortions respectively. The analysis is done for mapping function, PSNR, image histogram, and parameters of RS analysis. The simulation results highlights that the proposed security measure basically gives better and optimal results in comparison to prior research work conducted using wavelets and genetic algorithm.


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