A New Approach to Compressed Image Steganography Using Wavelet Transform
Journal Title: IOSR Journals (IOSR Journal of Computer Engineering) - Year 2015, Vol 17, Issue 5
Abstract
Abstract : This paper proposes a novel steganographic technique that embeds compressed payload image within cover image. The pixel adjustment of the cover image is done optimally using Fourier Transform, so that visual characteristics change of the cover image is kept as minimum. The work presents the application of Discrete Wavelet Transform (DWT) for image compression, Discrete Fourier Transform (DFT) as the efficient selection of pixel locations in cover image and suggests as a new approach to compressed image steganography. We apply the Fourier Transform to our cover image and calculate the coefficients less than or higher than a particular threshold value. These coefficients coordinates are stored in an array. Wavelettransform is applied to the payload image and the approximate coefficients are calculated. These coefficients replace the Fourier coefficients of the original image. The distortion in the stego-image is less when the size of the coefficient matrix is smaller. For the extraction part, the intensity values at the above stored coordinates are extracted and the approximate coefficient matrix is obtained. Inverse Wavelet Transform is applied to obtain the hidden payload image.
Authors and Affiliations
Tapan Kumar Hazra , Anurag Anand , Antra Shyam , Dr Ajoy Kumar Chakraborty
Keywords
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