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Journal of Computer Engineering & Information TechnologyISSN : 2324-9307

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Research Article, J Comput Eng Inf Technol Vol: 2 Issue: 2

Image Steganography Based on Wavelet Families

Sushil Kumar1* and S. K. Muttoo2
1Department of Mathematics, Rajdhani College, University of Delhi, New Delhi, India
2Department of Computer Science, University of Delhi, Delhi, India
Corresponding author : Sushil Kumar
Department of Mathematics, Rajdhani College, University of Delhi, New Delhi, India
Tel: +91-1125930752 ; Fax: +91-11-25116988
E-mail:
[email protected]
Received: February 15, 2013 Accepted: March 29, 2013 Published: April 23, 2013
Citation: Kumar S, Muttoo SK (2013) Image Steganography Based on Wavelet Families. J Comput Eng Inf Technol 2:2. doi:10.4172/2324-9307.1000105

Abstract

Image Steganography Based on Wavelet Families

Wavelet transforms are considered to be an ideal domain for image compression and transmission. The new generation still image compression standard JPEG2000 uses the bi-orthogonal CDF 5/3 wavelet (also called the CDF (2, 2) wavelet) for lossless compression and a CDF 9/7 wavelet for lossy compression. There are several known wavelet families such as Daubechies, Coiflet, Symlet, CDF, etc. The problem of selecting a suitable wavelet for signal and image processing has always challenged the researchers. The conventional wavelet filters often have floating point coefficients and couldn’t realize the lossless reconstruction.
The second generation wavelet transforms are based on lifting scheme and they map integers to integers. Thus they realize the lossless compression of image data with minimal memory usage and low computational complexity.

Keywords: Steganography; Wavelet; PSNR; SSIM; KlDiv

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