Steganography Essay

2800 Words12 Pages
Steganography is the art and science of writing hidden messages in such a way that no one, excluding the sender and deliberated recipient, suspects the message existence , a form of security through obscurity. Steganography techniques can be utilized to images, a video file or an audio file. Typically, steganography is written in characters including hash marking, but its usage within images is also usual. At any rate, steganography secures from pirating copyrighted materials as well as aiding in unauthorized viewing. In this paper, performance analysis of image steganography based on 2 level and 4 level DWT associated to colored images is done. Performance analysis of steganography is done for selecting better wavelet for application by analyzing Peak Signal Noise Ratio(PSNR) of different wavelet families like Haar, Daubechies, Biorthogonal, Reverse Biorthogonal & Meyer wavelet(dmey) on result oriented basis using Matlab environment.. Keywords Steganography, Discrete Wavelet Transform, Haar, Daubechies, Biorthogonal, Reverse Biorthogonal , Meyer(dmey) , PSNR & MSE 1. Introduction Steganography is ‘‘covered writing’’. Steganography is the hiding of a secret message within an ordinary message and the extraction of it at its target. Steganography takes cryptography a step farther by hiding an encrypted message so that no one guess it exists. Ideally, anyone scanning your data will fail to know it contains encrypted data. Ms.Suvarna Patil, Information Technology, RGPV University, Bhopal, India, e-mail: patilsuvarna555@gmail.com Mr.Gajendra Singh Chandel, Information Technology, RGPV University, Bhopal, India, e-mail: hodcsit.sssist@yahoo.com Mr.Ravindra Gupta, Information Technology, RGPV University, Bhopal, India, e-mail- ... ... middle of paper ... ... Wavelet transform). In this paper we using two technique of 2-level and 4-level discrete wavelet transform for hiding images has been proposed and implemented. This is done in MATLAB using simulink. Different wavelets analysed here are Haar, Biorthogonal, Reverse Biorthogonal, Daubechies,and Meyer(dmey).Results provide a good reference for application developers to choose a good wavelet compression system for their application, with this result we conclude that 4-level Haar DWT has better PSNR as compared to 2-level Haar DWT and also provide best quality of image. In Future we modified embedding & extraction formula for hiding audio data in cover image by using 2 level & 3 level wavelet decomposition of 3D-DWT which can be considered as a combination of three 1D DWT in the x, y and z directions and shows better performance in terms of both capacity and security.

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