Dual transform based steganography using wavelet families and statistical methods

Abstract

Steganography is the discipline of exchanging top secret information by embedding it into a multimedia carrier. The ultimate aim, here is to hide the very existence of the embedded information within seemingly innocuous carriers. The proposed method extracts either Discrete Wavelet Transform (DWT) or Integer Wavelet Transform (IWT) coefficients of both cover image and secret image. After that two extracted coefficient values are embedded by fusion processing technique. Then the stego image is obtained by applying various combinations of DWT and IWT on both images. In this method, we concentrated for perfecting the visual effect of the stego image and robustness against the various attacks by using different wavelet families. Finally performance evaluation is done on dual transform steganography using wavelet families and statistical methods. In our method achieved acceptable imperceptibility and certain robustness.