Features-Pooling Blind JPEG Image Steganalysis
Kang Leng Chiew, Josef Pieprzyk · 2008
In this research, we introduce a new blind steganalysis in detecting grayscale JPEG images. Features-pooling method is employed to extract the steganalytic features and the classification is done by using neural network. Three different steganographic models are tested and classification results are compared to the five state-of-the-art blind steganalysis.