Abstract
Video steganography aims at hiding important data in video files. Nowadays, video steganography is drawing much more attention. That is because videos can carry a large amount of secret data. In addition, they are transmitted frequently on the internet websites such as Facebook and YouTube imposing a larger practical significance on video steganography. In this paper, the 3D Stationary Wavelet Transform (SWT) is used to hide a secret image within video frames. The frames that contain motion are detected using the 3D SWT, then the wavelet coefficients of the secret image are hidden in the 3D SWT sub-bands. The proposed system was tested using some gray and color secret images. Different video formats were used such as MPEG, avi, mov and wmv. The experimental results show that the proposed method successfully hides the secret image within the video file with a similarity near 100% and the Peak Signal-to-Noise Ratio (PSNR) value above 30. The proposed method achieved promising results both quantitatively and qualitatively.
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