Steganalysis of data hiding in binary images
It is commonly believed that data hiding in binary image can't be detected due to little and noise like changes of data hiding. This work proposes a steganalytic technique that can detect the existence of hidden message embedded in binary images. The technique is based on statistical analysis of the image statistics such as black-and-white border complexity, block noisiness and block coarseness. The probability of both false positive and false negative rates can also be estimated. The experimental results show that the proposed method can detect hiding fact very effectively.