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AUTHOR(S):

Rajshree Nolkha, Aayushi Verma, Gaurav Agrawal, Virendra P. Vishwakarma

 

TITLE

A Secured Image Steganographic Technique for RGB Images Using Discrete Wavelet Transform

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KEYWORDS

Cover Image, Discrete Wavelet Transform, Peak Signal to Noise Ratio, Secret Image, Steganography, Stego Image.

ABSTRACT

Due to the commendable increase in rate of growth of internet usage as a medium to transfer data and high risk of data theft on internet, the concern is raised in favour of the confidentiality of the information, which is vital. Now to ensure security and to safeguard the private information, many techniques have been used. Image steganography is one of the technique which deals with hiding the secret information as an image behind an image. In this paper, we propose a new and much secured approach for image steganography on RGB images, which works in wavelet domain and the existence of the hidden RGB secret image is highly imperceptible. The high level of security is assured as the receiver is not able to extract the good quality secret image without the knowledge of the key information, provided by the sender to the intended receiver only. The quality of the images is measured by using certain quality metrics such as peak signal to noise ratio (PSNR). Furthermore, the RGB image with hidden content, called as stego image is exposed to certain kind of visual distortions and the secret is extracted out of that modified image, and the quality of image found is satisfactory. Moreover, the experimental results shows better result in comparison with other existing image steganography approach for RGB images.

Cite this paper

Rajshree Nolkha, Aayushi Verma, Gaurav Agrawal, Virendra P. Vishwakarma. (2016) A Secured Image Steganographic Technique for RGB Images Using Discrete Wavelet Transform. International Journal of Signal Processing, 1, 35-46