Abstract
Video steganography is a technique to hide different types of files (secret massages) into a carrying video file. Video files contain a collection of images (frames) and sounds, so most of techniques that apply on images and audio files can be applied to video files also. The large amount of data that can be hidden inside the video and the fact that it is a moving stream of images and sounds gives the cover video files great advantages. In this paper, we present a proposed video steganography algorithm in the frequency domain. It was applied to two datasets to study the effect of selecting red, green and blue band on the quality of stego images. From the results we found, the quality of the stego images after data embedding into red channel, green channel and blue channel depends on the nature of the dataset.
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