Publication Type:

Conference Paper

Source:

Proceedings of the 2010 International Conference on Advances in Computer Engineering, IEEE Computer Society, Washington, DC, USA, p.363-365 (2010)

ISBN:

9780769540580

URL:

http://dx.doi.org/10.1109/ACE.2010.50

Keywords:

Diamond encoding, DWPT, Image restoration, MLM neural network

Abstract:

A novel steganographic scheme is proposed. For image compression, wavelets and genetic programming is used. This image compression is build upon the DWPT to shorten the image, and to provide better quality levels at better compression ratios. Quantizing an image in the wavelet domain allows for easier evolution of genetic programs without sacrificing much in terms of image quality. Diamond Encoding is a new concept of data hiding used here. The Diamond Encoding provides an easy way to produce a more perceptible result than those yielded by other embedding methods. This method is capable of hiding more secret data while keeping the stego image quality degradation imperceptible. In this paper, image restoration is also done using morphological neural network to provide better performance.

Notes:

cited By (since 1996)0; Conference of org.apache.xalan.xsltc.dom.DOMAdapter@583e20ef ; Conference Date: org.apache.xalan.xsltc.dom.DOMAdapter@56e4582b Through org.apache.xalan.xsltc.dom.DOMAdapter@29589b9e; Conference Code:81584

Cite this Research Publication

Dr. Gireesh K. T., Sasidharan, S., N., K., A.P., S., and Y., A., “An Efficient Embedding and Restoration Steganographic Scheme for Secure Multimedia Communication”, in Proceedings of the 2010 International Conference on Advances in Computer Engineering, Washington, DC, USA, 2010, pp. 363-365.

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