抽象的

M-IGLS Based Extracting Hidden Data from Digital Media

Y.Singston Albert Dhas, D.Abisha

Data hiding and extraction schemes are increasing in today‟s communication world due to rapid increment of data tracking and tampering attacks.So we need an efficient and robust data hiding schemes to protect from these attacks. In this project the blindly extraction technique is considered. Blindly extraction means the original host and the embedding carriers are not need to be known. Here,the hidden data embedded to the host signal,via multicarrier SS embedding. The hidden data is extracted from the digital media like audio, video or image. The extraction algorithm used to extract the hidden data from digital media is Multicarrier Iterative Generalized Least Squares (M-IGLS).It is a low complexity algorithm and it attains the probability of error recovery equals to known host and embedding carriers. It‟s peak signal to noise ratio value obtained is high..