With the development of the computer technology, digital image processing technology is developing fast. New technology and new software of image processing have come forth with more convenient manipulation. More and more people can modify the pictures only with a computer and image processing software. A modified picture can not be recognized by eyes because of lacking of the tampering traces. Blind digital image forensics refers to the techniques that passively identify the authenticity, integrity and origination of the digital image without the help of embedded information. Passive blind image forensics is a challenging new hotspot of multimedia information security with broad prospect.
Junyu Xu ; Yuting Su ; Xingang You, Detection of video transcoding for digital forensics, Audio, Language and Image Processing (ICALIP), July 2012,pp. 160 – 164.
Yuting Su，Chengqian Zhang，Chuntian Zhang. A video steganalytic algorithm against motion-vector-based steganography. Signal Processing, In Press, Accepted Manuscript, available online 24 February, 2011.
Yuting Su, Jing Zhang, Yu Han, Jing Chen, Qingzhong Liu, Exposing digital video logo-removal forgery by inconsistency of blur, International Journal of Pattern Recognition and Artificial Intelligence, November 2010, 24(7): 1027-1046.
Yuting Su, Junyu Xu, Detection of double-compression in MPEG-2 videos. The 2nd International Workshop on Intelligent Systems and Applications, Wuhan，May, 2010, pp. 1-4.
Yuting Su, Jing Zhang, Jie Liu, Exposing digital video forgery by detecting motion compensated edge artifact，The 2nd International Conference on Computer Science and Software Engineering, Wuhan, 2009, pp. 1 - 4.