In this paper a DWT based steganography in frequency domain, termed as ATFDWT has been proposed. Here, the cover image is transformed into the time domain signal through DWT, resulting four sub-image components as 'Low resolution', 'Horizontal orientation', 'Vertical orientation' and 'Diagonal orientation'. The secret message/image bits stream in varying positions are embedded in 'Vertical orientation sub-image' followed by reverse transformation to generate embedded/encrypted image. The decoding is done through the reverse procedure. The experimental results against statistical and visual attack has been computed and compared with the existing technique like IAFDDFTT[1], in terms of Mean Square Error (MSE), Peak Signal to Noise Ratio (PSNR), Standard Deviation(SD) and Image Fidelity(IF) analysis, which shows better performances in ATFDWT.
@article{arxiv.1212.3719,
title = {An Authentication Technique in Frequency Domain through Wavelet Transform (ATFDWT)},
author = {Madhumita Sengupta and J. K. Mandal and N. Ghoshal},
journal= {arXiv preprint arXiv:1212.3719},
year = {2012}
}
Comments
18 Page Journal in 'Advances in Modelling Signal Processing and Pattern Recognition' (AMSE), vol-54, Issue 2, 20011