Introduction - If you have any usage issues, please Google them yourself
Based on quadtree segmentation JPEG steganalysis current major steganalysis methods are on the whole image feature extraction, while ignoring the differences in the content of the image. This paper presents a quadtree segmentation based on JPEG steganography analysis, the method according to the complexity of the image blocks of texture image segmentation of sub-images have the same statistical characteristics were steganography detection feature extraction, and configured accordingly classifier, to get the final test results by weighted fusion. Experimental results show that the method has good performance, especially with a large difference in the statistical properties of the training and test image when the algorithm to improve detection accuracy is more obvious.