Block-based Image Steganalysis: Methodology and Performance Evaluation
- When?
- Monday 5 July 2010, 14:00 to 15:00
- Where?
- 39BB02
- Open to:
- Staff, Students
- Speaker:
- Professor C-C Jay Kuo
Traditional image steganalysis techniques are conducted with respect to the entire image. In this work, we aim to differentiate a stego image from its cover image based on steganalysis results of decomposed image blocks. As a natural image often consists of heterogeneous regions, its decomposition will lead to smaller image blocks, each of which is more homogeneous
We classify these image blocks into multiple classes and find a classifier for each class to decide whether a block is from a cover or stego image. Then, the steganalysis of the whole image is conducted by fusing decision results of all image blocks through a voting process. Furthermore, the performance of block-based image steganalysis in terms of block sizes and block numbers is examined. We show that a larger block size and a larger block number will result in better performance. For a given test image, there exists a trade-off between the block size and the block number. To achieve better detection accuracy, we propose to use overlapping blocks to increase the block number. Experimental results will be given to show the advantage of the proposed block-based image steganalysis approach.
Dr. C.-C. Jay Kuo received the Ph.D. degrees from the Massachusetts Institute of Technology in 1987. He is now with the University of Southern California (USC) as Director of Signal and Image Processing Institute and Professor of EE, CS and Mathematics. His research interests are in the areas of digital media processing, multimedia compression, communication and networking technologies, and embedded multimedia system design. Dr. Kuo is Editor-in-Chief for the Journal of Visual Communication and Image Representation, and has served as Editor for 10 other international journals. Dr. Kuo received the National Science Foundation Young Investigator Award (NYI) and Presidential Faculty Fellow (PFF) Award in 1992 and 1993, respectively. He was an IEEE Signal Processing Society Distinguished Lecturer in 2006, and the recipient of the Electronic Imaging Scientist of the Year Award in 2010 and the holder of the 2010-2011 Fulbright-Nokia Distinguished Chair in Information and Communications Technologies. Dr. Kuo is a Fellow of IEEE and SPIE. Dr. Kuo has guided about 104 students to their Ph.D. degrees and supervised 20 postdoctoral research fellows. Currently, his research group at USC consists of around 30 Ph.D. students (see website http://viola.usc.edu), which is the largest academic research group in multimedia technologies. He is a co-author of about 175 journal papers, 800 conference papers and 10 books