Data hiding, a form of steganography, embeds data into digital media for the purpose of identification, annotation, security, and copyright. The goal of steganography is to avoid drawing suspicion to the transmission of a hidden message. Digital audio provides a suitable cover for high-throughput steganography. In this paper a high robustness system against the attackers in hiding of color images is presented. We used the multi-resolution discrete wavelet transform in hiding process. The JPEG format type for color images and WAV format for speech cover signal that used in test of system. Programs and graphics are executed by using MATLAB version 6.5 programs.
In this work a new hiding system is proposed. It is based on Least Significant Bits (LSB) embedding of secrete image into another cover image. The proposed hiding algorithm embeds the secrete image bits in the least significant bits of the cover image pixels such that the number of secrete image bits that are embedded in least significant bits of cover image pixel is variable and determined randomly. Such cover image pixel may contain no secrete information bit, one bit, two bits , or three bits according to the pseudo random number generator that generates integer numbers randomly between 0 and 3. The resulting image (the cover image within which the secret image is hidden) is called stego_image. Stego_image is closely related to the cover image and does not show any details of the secret information. It ensures that the eavedroppers will not have any suspicion that message bits are hidden in the image. The proposed system achieves perfect reconstruction of the secret message.
This work implying the design of hiding system that hides a gray scale image into another gray scale image using two-dimensional wavelet packet transform. The proposed hiding scheme uses Wavelet Packet Transform (WPT) to embed data elements of the secret image in different frequency bands of the cover image. The data elements of the secrete image are placed within DWT subspaces after simple treatment in order to reduce its significance on the resulting image and to increase security. The resulting image (the cover image within which the secret image is hidden) is called stego_image. Stego_image is closely related to the cover image and does not show any details of the secret image. The proposed system achieves perfect reconstruction of the secret image. All programs in this work is written by MATLAB 7.