Image Steganogaraphy based on Complex Double Dual Tree Wavelet Transform
This paper investigate the applications of Dual Tree Complex Wavelet Transforms to steganography and compares it with other transform domains such as DWT, Wavelet-like transform domain, viz, Slantlet domain and Double Density Dual Tree DWT domain. It is shown that Dual Tree Complex Wavelet Transform domain is better option than others as it offers better imperceptibily and high embedding capacity. It is also a well known fact that Complex Wavelet Transform not only provides shift invariance but also offers better directional selectivity over the discrete wavelet transform. We present a steganographic algorithm in four transform domains as mentioned above. The original string message is first converted into binary cell array with the help of selfsynchronizing variable length codes, viz., T-codes before the embedding. We then embed the secret message in the insensitive middle and high sub-bands obtained from the cover image after applying these transforms on it. To see the visual effect of data embedding in the Complex Wavelet Transform domain, we use the most convenient and simple modified LSB approach. The metric used for evaluating the visual quality of stego-image is PSNR. The experimental results show that the dual tree complex wavelet transform is better option than the Wavelet, Wavelet-like transform, i.e., Slantlet transform and Double Density Dual Tree DWT for data hiding in terms of visual quality and embedding capacity, though poor to external attacks such as Gaussian.
DWT SLT DD DT-CWT PSNR BPP JPEG 2000
Sushil Kumar S. K. Muttoo
Department of Mathematics, Rajdhani college,University of Delhi, New Delhi,India Department of Computer Science, University of Delhi, Delhi, India
国际会议
南京
英文
93-96
2010-11-01（万方平台首次上网日期，不代表论文的发表时间）