Steganografi Video Adaptif berbasis Fuzzy pada Sistem Penglihatan Manusia menggunakan Transformasi DCT

Abstract

Message delivery on a common channel in the internet are vulnerable to be read by unauthorized party. One of the ways to secure the message is by hiding its existence. This research utilized a video as a media to hide the message. The message is inserted at the DC coefficient of each frame of image that form the video. The insertion of message should consider the human visual system so that other party does not aware of the existence of message. The human eyes are not able to distinguish an image with low luminance and rough texture. Therefore, the message can be inserted more on these parts. In this research, the number of insertion for each DC coefficient is calculated by using fuzzy algorithm with sensitivity of light and sensitivity of texture as the input. It is found that the stego video has PSNR value above 30dB, SSIM value below 0.7, and MOS value 4 (the best value)