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Performance Analysis of Steganography based on 5-Wavelet Families by 4 Levels - DWT


Suvarna Patil, Gajendra Singh Chandel, Ravindra Gupta


Vol. 14  No. 12  pp. 56-61


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


Steganography, Discrete Wavelet Transform, Haar, Daubechies, Biorthogonal, Reverse Biorthogonal , Meyer(dmey) , PSNR & MSE